Free Trial

Featured This month

  • AI Ophthalmology and Optometry | Altris AI Altris Inc.

    Altris AI Receives Health Canada Approval, Reinforcing Its Position as a Globally Trusted AI Decision Support Platform for OCT Analysis

    Regulatory clearance marks a pivotal milestone in Altris AI’s international expansion and its mission to bring clinical-grade AI to eye care worldwide.

    10 March 2026 — Altris AI, a leading provider of AI-powered decision support for optical coherence tomography (OCT) analysis, today announced it has received approval from Health Canada | Santé Canada, Canada’s federal health regulatory authority. This clearance represents a significant step forward in the company’s global growth strategy and its commitment to meeting the highest standards of medical device safety and clinical reliability.

    For a company scaling across international markets, regulatory approvals are far more than administrative milestones — they are foundational growth enablers. Health Canada approval strengthens Altris AI’s international positioning, opens new pathways for future regulatory submissions across key markets, and delivers a clear signal to the global healthcare community: Altris AI is built for real-world clinical practice.

    The approval confirms that Altris AI’s clinical and technical validation withstands the rigorous scrutiny of Health Canada’s regulatory review process, which evaluated the platform across five critical dimensions: clinical evidence supporting efficacy and safety claims; risk management protocols; cybersecurity safeguards; quality management systems; and intended use claims. Each of these pillars reflects the standard that modern AI-driven medical devices must meet before being trusted in clinical settings.

    Altris AI’s platform serves optometrists, ophthalmologists, and pharmaceutical organizations by providing intelligent, reliable support for interpreting OCT scans — one of the most widely used diagnostic tools in eye care. By surfacing clinically relevant findings with speed and precision, Altris AI empowers clinicians to make more informed decisions, improve patient outcomes, and increase the efficiency of ophthalmic workflows.

    “This approval is external confirmation that our platform meets the standards required for medical-grade AI,” said  Maria Znamenska, Chief Medical Officer at Altris AI. “Health Canada’s review is thorough, evidence-based, and internationally respected. Receiving this clearance validates not just our technology, but the entire approach we’ve taken — building AI that clinicians can trust, in environments where accuracy is not optional.”

    The Health Canada clearance follows a broader regulatory strategy that positions Altris AI as a compliant, audit-ready platform for healthcare systems worldwide. As global regulators increasingly scrutinize AI in medical devices, early and consistent compliance across multiple jurisdictions will become a decisive competitive differentiator.

    Altris AI’s mission is to accelerate the transition of AI in eye care from innovation to infrastructure — not as a replacement for clinical expertise, but as a trusted decision-support layer that elevates the standard of care across every point of practice.

    About Altris AI Altris AI is an AI Decision Support platform for OCT analysis, designed to support optometry, ophthalmology, and pharma with clinically validated, regulatory-compliant technology. The company is committed to expanding access to intelligent eye care diagnostics globally.

  • Drusen on OCT: Detection, quantification, and tracking

    AI Ophthalmology and Optometry | Altris AI Maria Znamenska
    5 min.

    Introduction

    Drusen remains one of the main biomarkers of age-related macular degeneration (AMD). They play a prognostic role and reflect the stage of the disease. Distinguishing drusen parameters provides a personalized risk profile for the transition to geographic atrophy or neovascular AMD. Everyone working with AMD patients should know how to detect, quantify, and track drusen on OCT.

    What are the types of drusen?

    Drusen are accumulations of pathological material of lipid-protein nature, localized under the PES. They reflect impaired transport and exchange between the retinal pigment epithelium and Bruch’s membrane. Historically, they are divided into hard, soft, reticular pseudodruses (or subretinal drusenoid deposits) and other less common types (confluent, pachidruses) as well as other retinal OCT biomarkers for drusen segmentation.

    Hard drusen

    On ophthalmoscopy, they are small, rounded, clearly delineated foci of yellowish-white color. On OCT, they look like local deposits of hyperreflective material under the PES with a diameter of no more than 63 microns. In small quantities (up to 8), they are not a sign of pathology. They are asymptomatic in most patients.

    Soft drusen

    Soft drusen are larger than hard drusen and appear as extensive foci with blurred edges on the fundus. On OCT, they are dome-shaped and elevated above the PES and are divided into medium (63-125 μm) and large (more than 125 μm) in size. They are more strongly associated with AMD progression, especially when accompanied by pigmentary abnormalities and other OCT biomarkers (hyperreflective foci, destruction of the ellipsoidal zone, etc.). Soft drusen can enlarge and merge. An area of ​​merging drusen with a diameter exceeding 350 μm is called a drusenoid detachment of the PES.

    Soft drusen highlighted

    Soft drusen detected by Altris IMS. AI models are for Research Use Only. Not for use in diagnostic purposes. 

    Confluent drusen

    These are multiple small deposits under the PES, which can occur in relatively young patients; on FAG they often show a “starry sky” appearance. On OCT, there are multiple small symmetrical elevations of the PES, small in diameter (like hard drusen), but more numerous, prone to merging. The course is variable: some patients maintain a stable course for years, some have an increased risk of complications and transition to the late stages of AMD.

    Reticular pseudodrusen (or subretinal drusenoid deposits)

    They differ fundamentally in their localization, being located above the PES (in the subretinal space). They contain some common proteins with soft drusen, but differ in lipid composition. Due to their close location to the important photoreceptor layer, they are more often combined with a decrease in visual function, and also carry a higher risk of progression to late AMD (especially characterized by a rapid transition to geographic atrophy (GA) and the development of macular neovascularization (MNV) type 3).

    What are the levels of drusen?

    The AREDS size classification is still useful in clinical practice: small <63 μm, medium 63–124 μm, large ≥125 μm. Analyses confirm that the 5-year risk of progression to late AMD increases with the number and size of drusen in both eyes and especially with the presence of reticular pseudodrusen. In the NICE guidance for the management of patients with AMD (2018), the risk of progression also depends on the size and type of drusen, as well as the presence of associated pathological changes (pigmentary abnormalities, vitelliform deposits).

    The OCT era has added powerful quantitative metrics with AI for drusen measurement and monitoring:

    • drusen height (μm),
    • area (mm²),
    • volume (mm³),
    • topography (central ring within 1.5 mm; parafovea 3–5 mm),
    • dynamics of changes and associated biomarkers (hyperreflective foci, ellipsoidal zone disruption, presence of hypertransmission zones, etc.).

    A practically significant increase in the volume of drusen in the macular region over a year/two correlates with structural and functional deterioration (destructive changes in the photoreceptor layer, changes in ONL thickness, visual acuity). Data from multicenter projects (such as MACUSTAR) confirm the repeatability of measurements and the possibility of comparison between devices, provided that the correct algorithms are used.

    What do drusen look like on OCT?

    On B-scan OCT, classic hard and soft drusen are localized deposits of hyperreflective material between the PES and Bruch’s membrane (under the PES). Reflectivity can be uniform or heterogeneous depending on the structure and stage of development. Reticular pseudodruses are localized between the photoreceptor layer and the PES (above the PES) – this is the key difference from conventional drusen. On OCT images, they appear as tubercles in the subretinal space that remodel the outer layers of the retina (in particular, the ellipsoidal zone), and on en face, they are visualized as punctate structures, usually connected in a mesh pattern.

    A: Soft drusen. B: Hard drusen (Source) Another classic white and black scan

    In addition to the drusen themselves, clinically significant are hyperreflective foci, destruction of the ellipsoidal zone, thinning of the outer layers/ONL, formation of hyperreflective foci in OCT or geographic atrophy with the effect of hypertransmission – it is the combinations of these features that form prognostic models of the transition of intermediate AMD to late stages. The combination of these biomarkers consistently exceeds single morphometric thresholds.

    En Face Optical Coherence Tomography Illustration

    En Face Optical Coherence Tomography Illustration of the Trizonal Distribution of Drusen and Subretinal Drusenoid Deposits in the Macula (Source)

    As we can see, en face and linear OCT scans help to differentiate different types of drusen and track their progression dynamics. Modern deep learning models for AI drusen examination and en face analysis, like Altris.AI, reliably detect and segment classic drusen from subretinal drusenoid deposits, improving repeatability and reporting speed. You may see the difference from the classic white and black image analysis here:

    Confluent drusen are highlighted in red

    Confluent drusen are highlighted by Altris IMS. AI models are used for Research Use Only. Not for use in Diagnostic Purposes. 

    How to measure drusen size?

    Here we can find how drusen are measured:

    1) Classical size scale (AREDS):

    Orientation on diameter or equivalent on planar reconstructions: <63, 63–124, ≥125 μm. Convenient, but does not take volume/height or topography into account.

    2) Quantitative OCT analysis of PES elevation:

    On ZEISS CIRRUS instruments, the Advanced RPE Analysis module automatically calculates the area and volume of PES elevation in standard 3 and 5 mm rings around the fovea; the minimum height that the system consistently includes in quantitative results is about 19–20 μm. This provides repeatable metrics and a common “language of numbers” for clinical and research purposes.

    3) Morphometric rule for differentiation of drusen and drusenoid detachment of PES:

    By basal width: <350 μm – drusen, ≥350 μm drusenoid detachment of PES.

    4) AI segmentation and 3D morphometry:

    Deep networks segment Bruch’s membrane, PES, and ellipsoidal zone, as well as PES elevation on OCT, calculating drusen height/area/volume and generating dynamics maps. Validation work in 2023–2025 will demonstrate robustness between different OCT devices, which is critical for multicenter networks. Besides, you may track drusen progression on OCT AI tool and stay informed ahead of time to prevent more severe pathology changes in advance.

    Can drusen exist without macular degeneration?

    Yes, and this is possible in the following cases.

    Small (<63 μm) single drusen may occur in the elderly in the absence of other signs of AMD and concomitant risk biomarkers (hyperreflective foci, ellipsoidal zone abnormalities). In this phenotype, the 5-year risk of progression is low; routine monitoring at an interval of 1 time per year is sufficient, if possible, with recording quantitative indicators on OCT (volume/area of ​​PES elevation) for comparison in dynamics. The patient should be informed that the fact of “small drusen” alone does not equal a diagnosis of AMD and does not require treatment, but it is advisable to maintain lifestyle modification (blood pressure control, smoking cessation, a healthy diet).

    Confluent drusen are sometimes found in younger patients; they do not always fit into the classic models of AMD. Tactics – individual observation with an emphasis on high-quality OCT documentation (the same scan and control of concomitant biomarkers). In the absence of “red flags”, a 6-12 month follow-up interval is sufficient.

    Understanding Macular Degeneration

    Understanding Macular Degeneration (Source)

    Hereditary dystrophies (EFEMP1-related; associated phenotypes are Doyne’s cellular degeneration of the retina and Leventis’ malady) form drusen-like deposits without the typical pathogenesis inherent in AMD. They have an autosomal dominant inheritance pattern and are characterized by yellow-white deposits, like drusen, accumulating under the PES, often in the peripapillary zone. The clinical picture may include gradual vision loss, impaired contrast sensitivity, or metamorphopsia. In this case, timely detection of the phenotype (age of onset, family history, symmetry, characteristic fundus appearance) and referral for medical and genetic counseling with a subsequent individual follow-up plan, including monitoring of possible complications (neovascularization, atrophic changes).

    Drusen vs. drusenoid detachment of PES

    Drusen are local elevations of PES above Bruch’s membrane due to deposits of pathological material under PES. Usually multiple, of different diameters, with a tendency to merge with the formation of larger, topographically continuous areas of PES elevation.

    Drusenoid detachment of the pigment epithelium is formed from a larger conglomerate of drusenoid material, which in turn is formed as a result of the fusion of drusen.

    Another differentiating drusen and drusenoid deposits subtypes on multimodal imaging samples

    Another differentiating drusen and drusenoid deposits subtypes on multimodal imaging samples

    On B-scan OCT, it has smooth edges, uneven reflectivity, and often retains communication with neighboring drusen. On en face visualization, a conglomerate of elevation is visible, which corresponds to the zone of changes in the PES-Bruch’s membrane complex. In the absence of fluid inside the lesion, we are talking about drusenoid detachment of PES; if homogeneous hyporeflectivity is visualized under PES, this is serous detachment of PES, and if there are signs of a neovascular membrane according to OCTA or FAG, this is fibrovascular detachment of PES. Therefore, in doubtful cases, it is advisable to add OCTA to exclude hidden MNV.

    The main morphometric rule: basal width ≥350 μm (in the horizontal projection of the OCT slice favors drusenoid detachment of PES. In some situations, we also pay attention to the content (serous/optically empty space, signs of vascularization), PES profile, and associated biomarkers, since PES detachment is more often associated with the risk of transition to HA or the formation of neovascularization.

    What is the best treatment for drusen?

    Drusen are not treated as a separate nosology. They are a structural biomarker of AMD, and also have prognostic value for assessing the further development and rate of progression of the disease.

    Optimal tactics for detecting drusen:

    Optimal tactics for detecting drusen may include the following

    Risk modification: 

    • smoking cessation,
    •  blood pressure control,
    • metabolic profile,
    • diet.

    Dietary supplements based on AREDS 2: 

    • taking antioxidant complexes (lutein, zeaxanthin, vitamins C and E, zinc, copper) reduces the risk of transition to late AMD by approximately 25% within 5 years (according to AREDS 2).

    Quantitative monitoring on OCT: 

    • record the volume/area/height of drusen and their dynamics, distinguish between drusen types, detect other concomitant signs of AMD progression (hyperreflective foci, destructive changes in the ellipsoidal zone, pigmentary anomalies, vitelliform material deposition, signs of formation of foci of geographic atrophy).
    • Individualize observation intervals (depending on the type of drusen, the dynamics of their structural changes and other risk factors).
    • Among the new promising methods of treating dry AMD at the drusen stage is multiwavelength photobiomodulation.

    Multiwavelength photobiomodulation:

    This method is aimed at stopping or regressing the progression of dry AMD by modulating mitochondrial activity and consists of the use of specific light (red and near-infrared spectrum from ~590 to 850 nm), which can reduce oxidative stress in retinal cells, inflammation and apoptosis of PES cells.

    The efficacy as a potential treatment approach has remained controversial until recently: studies have shown only temporary improvement in visual function and reduction in drusen volume (not maintained for 6 months).

    Updated data from the LIGHTSITE III study were presented at the ARVO 2025 conference. They showed that photobiomodulation can significantly slow the decline in visual acuity and reduce the rate of expansion of HA zones

    Recently, the FDA approved photobiomodulation for the treatment of AMD.

    For complications:

    • Neovascular AMD– anti-VEGF.
    • Geographic atrophy – injectable drugs (inhibitors of the C3 and C5 complement system), approved by the FDA

    The role of AI drusen quantification OCT

    The role of AI: automated drusen-volume measurement in OCT is now a reality. IT allows automated segmentation and counting (3D volume, area, height), identification of reticular pseudodruses and other signs of AMD, and compilation of prognostic profiles.

    In practice, applying an OCT drusen-counting algorithm reduces variability in assessments and helps personalize visit frequency. Additionally, home OCT monitoring models with AI analysis are being developed, indicating that broader AI support for AMD is fast approaching.

    Conclusion

    Drusen on OCT are more than just a sign of AMD. They have become one of the most important biomarkers of age-related macular degeneration and a kind of “compass” in the daily practice of an ophthalmologist. Today we understand that:

    Drusen come in different types, and, accordingly, carry different prognostic information: hard, soft, confluent, and reticular pseudodrusen. Each type carries a different risk and requires a different surveillance strategy.

    Drusen levels are no longer limited to diameter, height, volume, dynamics, and structural features as well as accompanying OCT biomarkers have also become important. It is the combination of these parameters that allows us to predict the transition to the late stages of AMD.

    OCT has changed the game: drusen can now be seen in 3D, segmented automatically, build PES elevation maps, and compare data between visits. Thanks to this, the doctor receives a lot of information about the evolution of the disease.

    AI sets a new standard: algorithms can accurately calculate drusen volume, identify their subtypes, generate prognostic profiles, and reduce interobserver variability. This translates data from subjective descriptions into objective, reproducible numbers.

    Drusen classification on OCT using AI allows not only ascertaining the presence of drusen, but also differentiating their type, objectively measuring their number and parameters, and tracking their dynamics via AI drusen quantification on OCT. For the doctor, this means identifying risk factors in the early stages of retinal disease, accurately comparing data between visits, and prescribing the correct therapy promptly.

    Home monitoring is the future that has already begun: the first FDA-approved solutions with “OCT + AI” are currently used to monitor fluid in neovascular AMD, but they pave the way for daily structural monitoring of drusen as well. This means that in the near future, the patient may be able to monitor their own retina at home, and the doctor may be able to see the dynamics in real time.

    In the treatment of drusen wet or dry AMD, the main goal remains not to “remove drusen,” but to minimize risks (smoking, diet, systemic factors), prescribe AREDS2-based complexes, timely detect complications, and apply already available therapies (anti-VEGF in INM, C3 and C5 inhibitors of the complement system in HA). Among the new promising methods for treating dry AMD at the drusen stage is multiwavelength photobiomodulation.

     

    It is important to remember when communicating with the patient: drusen is not a therapeutic target, but a structural “compass”. We do not “treat drusen.” Instead, we systematically reduce risks (smoking, blood pressure, nutrition), use drugs based on the AREDS2 formula, and most importantly, we regularly measure their quantitative parameters in dynamics. When complications appear and the transition to a late stage occurs, we prescribe treatment based on the same objective OCT metrics. Thus, instrumental accuracy and AI analytics turn drusen into a manageable marker that helps to timely detect the risks of AMD progression.

    Thus, drusen on OCT have become a bridge between morphology and prognosis. They provide an opportunity to build a long-term strategy for preserving vision. Today, the doctor is required not only to see drusen, but also to quantitatively measure, assess in dynamics, calculate the risk, and explain to the patient his individual risks. It is thanks to these approaches that we are moving towards a new paradigm – personalized ophthalmology, where decisions are made based on objective digital data, enhanced by artificial intelligence.

    Sources:

      1. https://pubmed.ncbi.nlm.nih.gov/39558093/
      2. https://jamanetwork.com/journals/jamaophthalmology/fullarticle/2765650
      3. https://link.springer.com/article/10.1007/s00417-024-06389-x
      4. https://iovs.arvojournals.org/article.aspx?articleid=2804052
      5. https://www.ophthalmologyscience.org/article/S2666-9145(25)00182-4/fulltext
      6. https://www.nature.com/articles/s41433-024-03460-z
      7. https://www.ophthalmologytimes.com/view/arvo-2025-update-on-the-lightsite-iii-study-in-amd

popular Posted

  • AI Ophthalmology and Optometry | Altris AI Altris Inc.

    Altris AI Receives Health Canada Approval, Reinforcing Its Position as a Globally Trusted AI Decision Support Platform for OCT Analysis

    Regulatory clearance marks a pivotal milestone in Altris AI’s international expansion and its mission to bring clinical-grade AI to eye care worldwide.

    10 March 2026 — Altris AI, a leading provider of AI-powered decision support for optical coherence tomography (OCT) analysis, today announced it has received approval from Health Canada | Santé Canada, Canada’s federal health regulatory authority. This clearance represents a significant step forward in the company’s global growth strategy and its commitment to meeting the highest standards of medical device safety and clinical reliability.

    For a company scaling across international markets, regulatory approvals are far more than administrative milestones — they are foundational growth enablers. Health Canada approval strengthens Altris AI’s international positioning, opens new pathways for future regulatory submissions across key markets, and delivers a clear signal to the global healthcare community: Altris AI is built for real-world clinical practice.

    The approval confirms that Altris AI’s clinical and technical validation withstands the rigorous scrutiny of Health Canada’s regulatory review process, which evaluated the platform across five critical dimensions: clinical evidence supporting efficacy and safety claims; risk management protocols; cybersecurity safeguards; quality management systems; and intended use claims. Each of these pillars reflects the standard that modern AI-driven medical devices must meet before being trusted in clinical settings.

    Altris AI’s platform serves optometrists, ophthalmologists, and pharmaceutical organizations by providing intelligent, reliable support for interpreting OCT scans — one of the most widely used diagnostic tools in eye care. By surfacing clinically relevant findings with speed and precision, Altris AI empowers clinicians to make more informed decisions, improve patient outcomes, and increase the efficiency of ophthalmic workflows.

    “This approval is external confirmation that our platform meets the standards required for medical-grade AI,” said  Maria Znamenska, Chief Medical Officer at Altris AI. “Health Canada’s review is thorough, evidence-based, and internationally respected. Receiving this clearance validates not just our technology, but the entire approach we’ve taken — building AI that clinicians can trust, in environments where accuracy is not optional.”

    The Health Canada clearance follows a broader regulatory strategy that positions Altris AI as a compliant, audit-ready platform for healthcare systems worldwide. As global regulators increasingly scrutinize AI in medical devices, early and consistent compliance across multiple jurisdictions will become a decisive competitive differentiator.

    Altris AI’s mission is to accelerate the transition of AI in eye care from innovation to infrastructure — not as a replacement for clinical expertise, but as a trusted decision-support layer that elevates the standard of care across every point of practice.

    About Altris AI Altris AI is an AI Decision Support platform for OCT analysis, designed to support optometry, ophthalmology, and pharma with clinically validated, regulatory-compliant technology. The company is committed to expanding access to intelligent eye care diagnostics globally.

  • Drusen on OCT: Detection, quantification, and tracking

    AI Ophthalmology and Optometry | Altris AI Maria Znamenska
    5 min.

    Introduction

    Drusen remains one of the main biomarkers of age-related macular degeneration (AMD). They play a prognostic role and reflect the stage of the disease. Distinguishing drusen parameters provides a personalized risk profile for the transition to geographic atrophy or neovascular AMD. Everyone working with AMD patients should know how to detect, quantify, and track drusen on OCT.

    What are the types of drusen?

    Drusen are accumulations of pathological material of lipid-protein nature, localized under the PES. They reflect impaired transport and exchange between the retinal pigment epithelium and Bruch’s membrane. Historically, they are divided into hard, soft, reticular pseudodruses (or subretinal drusenoid deposits) and other less common types (confluent, pachidruses) as well as other retinal OCT biomarkers for drusen segmentation.

    Hard drusen

    On ophthalmoscopy, they are small, rounded, clearly delineated foci of yellowish-white color. On OCT, they look like local deposits of hyperreflective material under the PES with a diameter of no more than 63 microns. In small quantities (up to 8), they are not a sign of pathology. They are asymptomatic in most patients.

    Soft drusen

    Soft drusen are larger than hard drusen and appear as extensive foci with blurred edges on the fundus. On OCT, they are dome-shaped and elevated above the PES and are divided into medium (63-125 μm) and large (more than 125 μm) in size. They are more strongly associated with AMD progression, especially when accompanied by pigmentary abnormalities and other OCT biomarkers (hyperreflective foci, destruction of the ellipsoidal zone, etc.). Soft drusen can enlarge and merge. An area of ​​merging drusen with a diameter exceeding 350 μm is called a drusenoid detachment of the PES.

    Soft drusen highlighted

    Soft drusen detected by Altris IMS. AI models are for Research Use Only. Not for use in diagnostic purposes. 

    Confluent drusen

    These are multiple small deposits under the PES, which can occur in relatively young patients; on FAG they often show a “starry sky” appearance. On OCT, there are multiple small symmetrical elevations of the PES, small in diameter (like hard drusen), but more numerous, prone to merging. The course is variable: some patients maintain a stable course for years, some have an increased risk of complications and transition to the late stages of AMD.

    Reticular pseudodrusen (or subretinal drusenoid deposits)

    They differ fundamentally in their localization, being located above the PES (in the subretinal space). They contain some common proteins with soft drusen, but differ in lipid composition. Due to their close location to the important photoreceptor layer, they are more often combined with a decrease in visual function, and also carry a higher risk of progression to late AMD (especially characterized by a rapid transition to geographic atrophy (GA) and the development of macular neovascularization (MNV) type 3).

    What are the levels of drusen?

    The AREDS size classification is still useful in clinical practice: small <63 μm, medium 63–124 μm, large ≥125 μm. Analyses confirm that the 5-year risk of progression to late AMD increases with the number and size of drusen in both eyes and especially with the presence of reticular pseudodrusen. In the NICE guidance for the management of patients with AMD (2018), the risk of progression also depends on the size and type of drusen, as well as the presence of associated pathological changes (pigmentary abnormalities, vitelliform deposits).

    The OCT era has added powerful quantitative metrics with AI for drusen measurement and monitoring:

    • drusen height (μm),
    • area (mm²),
    • volume (mm³),
    • topography (central ring within 1.5 mm; parafovea 3–5 mm),
    • dynamics of changes and associated biomarkers (hyperreflective foci, ellipsoidal zone disruption, presence of hypertransmission zones, etc.).

    A practically significant increase in the volume of drusen in the macular region over a year/two correlates with structural and functional deterioration (destructive changes in the photoreceptor layer, changes in ONL thickness, visual acuity). Data from multicenter projects (such as MACUSTAR) confirm the repeatability of measurements and the possibility of comparison between devices, provided that the correct algorithms are used.

    What do drusen look like on OCT?

    On B-scan OCT, classic hard and soft drusen are localized deposits of hyperreflective material between the PES and Bruch’s membrane (under the PES). Reflectivity can be uniform or heterogeneous depending on the structure and stage of development. Reticular pseudodruses are localized between the photoreceptor layer and the PES (above the PES) – this is the key difference from conventional drusen. On OCT images, they appear as tubercles in the subretinal space that remodel the outer layers of the retina (in particular, the ellipsoidal zone), and on en face, they are visualized as punctate structures, usually connected in a mesh pattern.

    A: Soft drusen. B: Hard drusen (Source) Another classic white and black scan

    In addition to the drusen themselves, clinically significant are hyperreflective foci, destruction of the ellipsoidal zone, thinning of the outer layers/ONL, formation of hyperreflective foci in OCT or geographic atrophy with the effect of hypertransmission – it is the combinations of these features that form prognostic models of the transition of intermediate AMD to late stages. The combination of these biomarkers consistently exceeds single morphometric thresholds.

    En Face Optical Coherence Tomography Illustration

    En Face Optical Coherence Tomography Illustration of the Trizonal Distribution of Drusen and Subretinal Drusenoid Deposits in the Macula (Source)

    As we can see, en face and linear OCT scans help to differentiate different types of drusen and track their progression dynamics. Modern deep learning models for AI drusen examination and en face analysis, like Altris.AI, reliably detect and segment classic drusen from subretinal drusenoid deposits, improving repeatability and reporting speed. You may see the difference from the classic white and black image analysis here:

    Confluent drusen are highlighted in red

    Confluent drusen are highlighted by Altris IMS. AI models are used for Research Use Only. Not for use in Diagnostic Purposes. 

    How to measure drusen size?

    Here we can find how drusen are measured:

    1) Classical size scale (AREDS):

    Orientation on diameter or equivalent on planar reconstructions: <63, 63–124, ≥125 μm. Convenient, but does not take volume/height or topography into account.

    2) Quantitative OCT analysis of PES elevation:

    On ZEISS CIRRUS instruments, the Advanced RPE Analysis module automatically calculates the area and volume of PES elevation in standard 3 and 5 mm rings around the fovea; the minimum height that the system consistently includes in quantitative results is about 19–20 μm. This provides repeatable metrics and a common “language of numbers” for clinical and research purposes.

    3) Morphometric rule for differentiation of drusen and drusenoid detachment of PES:

    By basal width: <350 μm – drusen, ≥350 μm drusenoid detachment of PES.

    4) AI segmentation and 3D morphometry:

    Deep networks segment Bruch’s membrane, PES, and ellipsoidal zone, as well as PES elevation on OCT, calculating drusen height/area/volume and generating dynamics maps. Validation work in 2023–2025 will demonstrate robustness between different OCT devices, which is critical for multicenter networks. Besides, you may track drusen progression on OCT AI tool and stay informed ahead of time to prevent more severe pathology changes in advance.

    Can drusen exist without macular degeneration?

    Yes, and this is possible in the following cases.

    Small (<63 μm) single drusen may occur in the elderly in the absence of other signs of AMD and concomitant risk biomarkers (hyperreflective foci, ellipsoidal zone abnormalities). In this phenotype, the 5-year risk of progression is low; routine monitoring at an interval of 1 time per year is sufficient, if possible, with recording quantitative indicators on OCT (volume/area of ​​PES elevation) for comparison in dynamics. The patient should be informed that the fact of “small drusen” alone does not equal a diagnosis of AMD and does not require treatment, but it is advisable to maintain lifestyle modification (blood pressure control, smoking cessation, a healthy diet).

    Confluent drusen are sometimes found in younger patients; they do not always fit into the classic models of AMD. Tactics – individual observation with an emphasis on high-quality OCT documentation (the same scan and control of concomitant biomarkers). In the absence of “red flags”, a 6-12 month follow-up interval is sufficient.

    Understanding Macular Degeneration

    Understanding Macular Degeneration (Source)

    Hereditary dystrophies (EFEMP1-related; associated phenotypes are Doyne’s cellular degeneration of the retina and Leventis’ malady) form drusen-like deposits without the typical pathogenesis inherent in AMD. They have an autosomal dominant inheritance pattern and are characterized by yellow-white deposits, like drusen, accumulating under the PES, often in the peripapillary zone. The clinical picture may include gradual vision loss, impaired contrast sensitivity, or metamorphopsia. In this case, timely detection of the phenotype (age of onset, family history, symmetry, characteristic fundus appearance) and referral for medical and genetic counseling with a subsequent individual follow-up plan, including monitoring of possible complications (neovascularization, atrophic changes).

    Drusen vs. drusenoid detachment of PES

    Drusen are local elevations of PES above Bruch’s membrane due to deposits of pathological material under PES. Usually multiple, of different diameters, with a tendency to merge with the formation of larger, topographically continuous areas of PES elevation.

    Drusenoid detachment of the pigment epithelium is formed from a larger conglomerate of drusenoid material, which in turn is formed as a result of the fusion of drusen.

    Another differentiating drusen and drusenoid deposits subtypes on multimodal imaging samples

    Another differentiating drusen and drusenoid deposits subtypes on multimodal imaging samples

    On B-scan OCT, it has smooth edges, uneven reflectivity, and often retains communication with neighboring drusen. On en face visualization, a conglomerate of elevation is visible, which corresponds to the zone of changes in the PES-Bruch’s membrane complex. In the absence of fluid inside the lesion, we are talking about drusenoid detachment of PES; if homogeneous hyporeflectivity is visualized under PES, this is serous detachment of PES, and if there are signs of a neovascular membrane according to OCTA or FAG, this is fibrovascular detachment of PES. Therefore, in doubtful cases, it is advisable to add OCTA to exclude hidden MNV.

    The main morphometric rule: basal width ≥350 μm (in the horizontal projection of the OCT slice favors drusenoid detachment of PES. In some situations, we also pay attention to the content (serous/optically empty space, signs of vascularization), PES profile, and associated biomarkers, since PES detachment is more often associated with the risk of transition to HA or the formation of neovascularization.

    What is the best treatment for drusen?

    Drusen are not treated as a separate nosology. They are a structural biomarker of AMD, and also have prognostic value for assessing the further development and rate of progression of the disease.

    Optimal tactics for detecting drusen:

    Optimal tactics for detecting drusen may include the following

    Risk modification: 

    • smoking cessation,
    •  blood pressure control,
    • metabolic profile,
    • diet.

    Dietary supplements based on AREDS 2: 

    • taking antioxidant complexes (lutein, zeaxanthin, vitamins C and E, zinc, copper) reduces the risk of transition to late AMD by approximately 25% within 5 years (according to AREDS 2).

    Quantitative monitoring on OCT: 

    • record the volume/area/height of drusen and their dynamics, distinguish between drusen types, detect other concomitant signs of AMD progression (hyperreflective foci, destructive changes in the ellipsoidal zone, pigmentary anomalies, vitelliform material deposition, signs of formation of foci of geographic atrophy).
    • Individualize observation intervals (depending on the type of drusen, the dynamics of their structural changes and other risk factors).
    • Among the new promising methods of treating dry AMD at the drusen stage is multiwavelength photobiomodulation.

    Multiwavelength photobiomodulation:

    This method is aimed at stopping or regressing the progression of dry AMD by modulating mitochondrial activity and consists of the use of specific light (red and near-infrared spectrum from ~590 to 850 nm), which can reduce oxidative stress in retinal cells, inflammation and apoptosis of PES cells.

    The efficacy as a potential treatment approach has remained controversial until recently: studies have shown only temporary improvement in visual function and reduction in drusen volume (not maintained for 6 months).

    Updated data from the LIGHTSITE III study were presented at the ARVO 2025 conference. They showed that photobiomodulation can significantly slow the decline in visual acuity and reduce the rate of expansion of HA zones

    Recently, the FDA approved photobiomodulation for the treatment of AMD.

    For complications:

    • Neovascular AMD– anti-VEGF.
    • Geographic atrophy – injectable drugs (inhibitors of the C3 and C5 complement system), approved by the FDA

    The role of AI drusen quantification OCT

    The role of AI: automated drusen-volume measurement in OCT is now a reality. IT allows automated segmentation and counting (3D volume, area, height), identification of reticular pseudodruses and other signs of AMD, and compilation of prognostic profiles.

    In practice, applying an OCT drusen-counting algorithm reduces variability in assessments and helps personalize visit frequency. Additionally, home OCT monitoring models with AI analysis are being developed, indicating that broader AI support for AMD is fast approaching.

    Conclusion

    Drusen on OCT are more than just a sign of AMD. They have become one of the most important biomarkers of age-related macular degeneration and a kind of “compass” in the daily practice of an ophthalmologist. Today we understand that:

    Drusen come in different types, and, accordingly, carry different prognostic information: hard, soft, confluent, and reticular pseudodrusen. Each type carries a different risk and requires a different surveillance strategy.

    Drusen levels are no longer limited to diameter, height, volume, dynamics, and structural features as well as accompanying OCT biomarkers have also become important. It is the combination of these parameters that allows us to predict the transition to the late stages of AMD.

    OCT has changed the game: drusen can now be seen in 3D, segmented automatically, build PES elevation maps, and compare data between visits. Thanks to this, the doctor receives a lot of information about the evolution of the disease.

    AI sets a new standard: algorithms can accurately calculate drusen volume, identify their subtypes, generate prognostic profiles, and reduce interobserver variability. This translates data from subjective descriptions into objective, reproducible numbers.

    Drusen classification on OCT using AI allows not only ascertaining the presence of drusen, but also differentiating their type, objectively measuring their number and parameters, and tracking their dynamics via AI drusen quantification on OCT. For the doctor, this means identifying risk factors in the early stages of retinal disease, accurately comparing data between visits, and prescribing the correct therapy promptly.

    Home monitoring is the future that has already begun: the first FDA-approved solutions with “OCT + AI” are currently used to monitor fluid in neovascular AMD, but they pave the way for daily structural monitoring of drusen as well. This means that in the near future, the patient may be able to monitor their own retina at home, and the doctor may be able to see the dynamics in real time.

    In the treatment of drusen wet or dry AMD, the main goal remains not to “remove drusen,” but to minimize risks (smoking, diet, systemic factors), prescribe AREDS2-based complexes, timely detect complications, and apply already available therapies (anti-VEGF in INM, C3 and C5 inhibitors of the complement system in HA). Among the new promising methods for treating dry AMD at the drusen stage is multiwavelength photobiomodulation.

     

    It is important to remember when communicating with the patient: drusen is not a therapeutic target, but a structural “compass”. We do not “treat drusen.” Instead, we systematically reduce risks (smoking, blood pressure, nutrition), use drugs based on the AREDS2 formula, and most importantly, we regularly measure their quantitative parameters in dynamics. When complications appear and the transition to a late stage occurs, we prescribe treatment based on the same objective OCT metrics. Thus, instrumental accuracy and AI analytics turn drusen into a manageable marker that helps to timely detect the risks of AMD progression.

    Thus, drusen on OCT have become a bridge between morphology and prognosis. They provide an opportunity to build a long-term strategy for preserving vision. Today, the doctor is required not only to see drusen, but also to quantitatively measure, assess in dynamics, calculate the risk, and explain to the patient his individual risks. It is thanks to these approaches that we are moving towards a new paradigm – personalized ophthalmology, where decisions are made based on objective digital data, enhanced by artificial intelligence.

    Sources:

      1. https://pubmed.ncbi.nlm.nih.gov/39558093/
      2. https://jamanetwork.com/journals/jamaophthalmology/fullarticle/2765650
      3. https://link.springer.com/article/10.1007/s00417-024-06389-x
      4. https://iovs.arvojournals.org/article.aspx?articleid=2804052
      5. https://www.ophthalmologyscience.org/article/S2666-9145(25)00182-4/fulltext
      6. https://www.nature.com/articles/s41433-024-03460-z
      7. https://www.ophthalmologytimes.com/view/arvo-2025-update-on-the-lightsite-iii-study-in-amd
  • Central Retinal Vein Occlusion CRVO OCT: Detection and Modern Approaches to Monitoring and Treatment

    crvo
    AI Ophthalmology and Optometry | Altris AI Maria Znamenska
    3 min.

    Introduction

    Central Retinal Vein Occlusion (CRVO) OCT is one of the most common and clinically significant vascular disorders affecting the eye, often resulting in substantial visual impairment. This condition ranks second among causes of vision loss due to vascular disease, after diabetic retinopathy, placing a considerable burden on both healthcare systems and patients’ quality of life. Epidemiological studies show that the prevalence of RVO increases with age, and in populations with concomitant cardiovascular disease, the risk of developing occlusion rises severalfold.

    Despite a long history of study, it is the breakthroughs in instrumental diagnostics over the past decade that have fundamentally changed our approach to recognizing and managing RVO. Previously, assessment of the macula and retinal vasculature relied primarily on ophthalmoscopy. While still an important tool, it has inherent limitations.

    Optical coherence tomography (OCT) has revolutionized diagnostic standards. With its high resolution and ability to capture subtle structural changes within the retinal layers, OCT has become indispensable for determining disease severity, monitoring treatment efficacy, and conducting long-term follow-up. It allows for the detection of minimal early signs of edema, subclinical structural damage, and initial manifestations of ischemia—changes that were practically inaccessible for dynamic assessment 10–15 years ago.

    This level of precision is particularly critical for patients at increased risk of RVO. The most vulnerable groups include individuals with arterial hypertension, diabetes mellitus, glaucoma, coagulation disorders, as well as older adults, in whom the vascular walls may already have undergone degenerative or sclerotic changes.

    Importantly, modern RVO treatments require objective dynamic monitoring. OCT enables precise evaluation of structural changes, tracking of therapeutic response, and individualization of treatment strategies, helping to avoid both overtreatment and undertreatment.

    Thus, the role of OCT today goes far beyond simple visualization: it is a key tool for prognostic assessment, patient stratification, optimization of therapeutic decisions, and timely detection of complications.

    1. What RVO Is and Why It Occurs?

    Central Retinal Vein Occlusion (CRVO) OCT is a disruption of venous blood outflow in the retina due to partial or complete vein occlusion. As a result, the following occur:

    • Blood stasis
    • Increased venous pressure
    • Impaired capillary perfusion
    • Retinal edema, especially in the macular area
    • Risk of neovascularization

    Early detection is critical, as prompt treatment—particularly for macular edema—significantly increases the chances of preserving or restoring vision. Delayed diagnosis can lead to progression of ischemia, neovascularization, neovascular glaucoma, and persistent macular dysfunction.

    RVO also has important systemic implications: patients with a history of RVO have a higher risk of acute cardiovascular events (myocardial infarction, stroke, heart failure) compared with the general population. This emphasizes the need for comprehensive management, involving not only ophthalmologists but also other specialists, such as cardiologists.

    Central vs. Branch Retinal Vein Occlusion: Pathogenesis Differences

    • Central Retinal Vein Occlusion (CRVO) occurs when blockage happens at the level of the lamina cribrosa. Compression, arterial wall thickening, or thrombotic processes disrupt blood outflow from the entire retina. Typical signs include:
      • Diffuse hemorrhages
      • Marked macular edema
      • Increased risk of optic disc and iris neovascularization due to severe ischemia
      • Generally worsen prognosis than branch occlusions
    • Branch Retinal Vein Occlusion (BRVO) usually occurs at arteriovenous crossings, where a thickened artery compresses a vein, causing localized occlusion. Characteristic features include:
      • Localized edema and hemorrhages
      • Clear segmental distribution
      • Prognosis is generally better than that of CRVO, though macular edema may persist

    Key Risk Factors for RVO
    Modern studies and guidelines identify the following as the main risk factors:

    • Arterial hypertension
    • Atherosclerosis and age-related vascular changes
    • Diabetes mellitus (even without diabetic retinopathy)
    • Glaucoma and elevated IOP
    • Hypercoagulable states, thrombophilia
    • Obstructive sleep apnea
    • Age >50 years

    Rare cases of RVO associated with thromboembolic complications after COVID‑19 infection or vaccination have also been reported, highlighting the ongoing relevance of thrombotic mechanisms.

    Impact on Microcirculation and Vision


    RVO leads to:

    • Impaired normal venous outflow
    • Sharp elevation of hydrostatic venous pressure
    • Damage to the blood-retinal barrier
    • Leakage of plasma and cellular elements into the retinal interstitium, causing macular edema
    • Development of ischemic zones
    • Over time, thinning of inner retinal layers, neuroepithelial atrophy, and damage to the photoreceptor layer

    These changes are best assessed with OCT, which enables precise patient stratification and treatment planning. Timely diagnosis, proper monitoring, and early therapy are essential.

    2. OCT Signs of Retinal Vein Occlusion: Detecting Subtle Changes

    With the advent of OCT, detection of structural retinal changes in RVO has significantly improved—even at early stages without obvious clinical signs.

    Acute Stage Changes (first weeks after occlusion)

    • Macular edema:
      • Cystic spaces in inner retinal layers (INL, OPL)
      • Increased central retinal thickness
      • Subretinal fluid (serous neurosensory detachment)
    • Intraretinal hemorrhages: appear on OCT as hyperreflective areas with shadowing of underlying layers
    • Ischemia indicators:
      • Hyperreflectivity of neuroepithelium
      • Cotton-wool spots

    Chronic Stage Changes (months later)

    • Chronic ischemic and atrophic changes (thinning of inner retinal layers)
    • Disruption of photoreceptor layer (ELM and EZ)
    • Disorganization of inner retinal layers (DRIL)
    • Persistent edema (>6 months) indicates chronic RVO requiring therapeutic adjustment

    AI for OCT thus allows both acute diagnosis and long-term monitoring of ischemic progression or tissue remodeling.

    tissues

    rvo

    crvo

    3. Assessment of Macular Changes in RVO Using OCT

    Central retinal vein occlusion crvo OCT is now considered the gold standard for diagnosing, monitoring, and assessing treatment response in macular edema, including that associated with RVO.

    OCT is highly sensitive for:

    • Quantitative and qualitative analysis (central retinal thickness [CRT], macular volume [MV], size and number of cystic spaces, DRIL, photoreceptor layer integrity)
    • Evaluating treatment response
    • Detecting minimal residual cysts
    • Predicting visual acuity outcomes

    Typical OCT Findings in RVO:

    • Diffuse retinal thickening
    • Cystoid macular edema (localized cysts deforming normal retinal architecture)
    • Serous neurosensory detachment (indicative of blood-retinal barrier breakdown)
    • Disruption of EZ and ELM (photoreceptor involvement, critical for final visual acuity)

    These capabilities make OCT an integral part of modern RVO monitoring.

    rvo

    rvo 1

    rvo 2

    4. Top 3 Challenges in RVO OCT Analysis

    Despite its power, OCT assessment of RVO has significant limitations:

    1. Need for normative comparison
      Interpretation requires comparison with the patient’s contralateral eye or established normal values. Systemic vascular anomalies can affect both eyes, limiting standardization.
    2. Complexity with comorbidities
      Many RVO patients have systemic (hypertension, diabetes) or ophthalmic comorbidities (diabetic retinopathy, AMD, glaucoma, epiretinal membrane), complicating interpretation. It can be difficult to distinguish RVO-related changes from combined pathology.
    3. Requirement to consider the clinical context
      OCT provides only part of the clinical picture. Accurate interpretation requires integration of symptoms, medical history, systemic factors, fundoscopic findings, and other diagnostic tests. Anatomical variations, comorbidities (glaucoma, cataract), and individual treatment response also necessitate a personalized approach.

    5. Treatment of RVO: Modern Approaches

    Currently, no treatment restores normal retinal venous circulation. Therefore, therapy focuses on controlling complications, primarily macular edema and preventing neovascularization (retinal, iris/optic disc, neovascular glaucoma, hemorrhages, and tractional changes).

    All RVO patients should receive systemic management, ideally in collaboration between an ophthalmologist and a cardiologist or internist. Monitoring of blood pressure, lipids, glucose, and coagulation factors is essential, as RVO often signals systemic vascular risk.

    Treatment decisions must be individualized, considering:

    • RVO subtype (CRVO vs. BRVO)
    • Edema severity
    • Clinical and OCT findings
    • Risk of adverse effects
    • Patient status (comorbidities, ability for regular follow-up)

    Anti-VEGF Therapy as First-Line Treatment

    Intravitreal anti-VEGF injections are the first-line therapy for macular edema associated with RVO. These drugs reduce vascular endothelial growth factor (VEGF) expression, lowering vascular permeability, fluid leakage, edema, and inhibiting pathological neovascularization.

    Commonly used agents:

    • Ranibizumab, Aflibercept, Faricimab: proven safe and effective for CRVO and BRVO-related macular edema brvo vs crvo oct; studies show significant improvements in best-corrected visual acuity (BCVA) and central macular thickness (CMT).
    • Bevacizumab: used off-label for macular edema and neovascularization.

    Long-term studies indicate anti-VEGF therapy provides sustained visual improvement for many patients, with injection frequency often decreasing over time.

    Advantages:

    • High efficacy for macular edema
    • Good tolerability and safety (systemic complications are rare)
    • Personalized treatment possible

    Limitations / Challenges:

    • Some patients respond insufficiently
    • Requires frequent injections (clinic visits, financial burden, potential complications, patient discomfort)
    • Chronic or refractory edema may require alternative or combination approaches

    Steroid Implants and Injections: Second-Line Therapy

    Dexamethasone intravitreal implant (OZURDEX) is approved for RVO-related macular edema, particularly when:

    • Anti-VEGF therapy is insufficient
    • Frequent injections are impractical (distance, transportation, cost)

    Steroids reduce inflammation, vascular permeability, and fluid accumulation, useful in chronic or resistant edema.

    Risks / Limitations:

    • Cataract (especially with repeated or long-term use)
    • Increased intraocular pressure (IOP), potential steroid-induced glaucoma

    Laser Therapy

    • Panretinal photocoagulation is effective for neovascularization.
    • Its use has declined with anti-VEGF availability, which offers strong anatomical and functional results.

    Surgical Approaches

    • Vitrectomy may be considered in selected cases.
    • Surgery carries risks and is reserved for situations where other treatments fail or are inappropriate.

    Combination Strategies

    • In practice, clinicians often combine anti-VEGF therapy with steroid implants or laser treatment, depending on disease course.
    • This can reduce total injection burden, minimize side effects, and improve outcomes in chronic or recurrent edema.

    Monitoring Frequency

    • Active macular edema or ongoing treatment requires regular OCT follow-up to evaluate therapeutic response and adjust injection intervals.
    • OCT schedule:
      • Monthly at treatment initiation
      • Individualized intervals using Treat-and-Extend protocols
      • Structural monitoring to prevent atrophic changes
    • Ischemic RVO patients have the highest neovascularization risk within the first 90 days; monthly monitoring during the first 6 months is critical.

    Conclusions and Recommendations

    RVO is a complex, multifactorial vascular disorder that can cause sudden and severe vision loss, particularly in patients with systemic risk factors. Modern management aims not only to address acute complications but also to control long-term structural retinal changes.

    OCT has transformed RVO care by providing:

    • Early detection of edema, subclinical ischemia, and architectural changes
    • Dynamic monitoring of treatment response, allowing timely adjustments and optimization
    • Improved long-term prognostication through evaluation of macular thickness, outer retinal layers, and fluid volume

    OCT helps identify edema type and secondary changes—atrophy, photoreceptor damage, inner retinal thinning—allowing a more accurate visual prognosis, especially in ischemic RVO.

    When combined with modern anti-VEGF agents, long-acting steroid implants, and personalized dosing regimens, OCT enables:

    • Reduction of unnecessary injections via interval optimization
    • Maximized treatment efficacy based on morphological findings
    • Prevention of recurrence and progression through early detection of edema

    Thus, OCT is not merely a visualization tool but a core element of clinical decision-making, improving patient management, preventing complications, and enabling more complete and stable visual recovery.

    Clinical Recommendation: Integrate regular OCT assessments into RVO management, with attention to macular thickness dynamics and outer retinal layer integrity for precise disease control and optimized therapeutic outcomes.

    References:

    1. https://pubmed.ncbi.nlm.nih.gov/38714470/
    2. https://www.rcophth.ac.uk/wp-content/uploads/2015/07/Retinal-Vein-Occlusion-Guidelines-Executive-Summary-2022.pdf
    3. https://www.mdpi.com/2077-0383/14/4/1183
    4. https://www.auctoresonline.org/article/clinical-therapeutic-orientation-in-retinal-venous-obstruction
    5. https://www.mdpi.com/2077-0383/10/3/405
    6. https://pmc.ncbi.nlm.nih.gov/articles/PMC10801953
    7. https://www.mdpi.com/2075-4418/13/19/3100
    8. https://karger.com/oph/article-abstract/242/1/8/255831/Microvascular-Retinal-and-Choroidal-Changes-in?redirectedFrom=fulltext
    9. https://link.springer.com/article/10.1007/s40123-024-01077-9
    10. https://pubmed.ncbi.nlm.nih.gov/39717563/
    11. https://provider-rvo.vision-relief.com/introduction/management/

     

  • Key Trends in Ophthalmology and Optometry in 2026

    trends
    AI Ophthalmology and Optometry | Altris AI Maria Znamenska
    3 min.

    Introduction

    The year 2026 in ophthalmology will not be defined by a single “major breakthrough,” but rather by key trends in Ophthalmology and optometry in 2026, and the maturation of several directions whose discoveries and innovations are now transitioning into everyday clinical practice. While just a few years ago innovations were often perceived as isolated technologies far removed from real-world care (a new drug, device, or piece of equipment), today entire ecosystems are being formed: from early detection to long-term monitoring, from the ophthalmologist’s office to optometric screening, from a single consultation to a longitudinal patient journey supported by digital tools.

    The core logic of 2026 is a shift from reactive to proactive ophthalmology. Increasingly, the goal is to prevent disease at the stage of risk-factor modification, intervene in the earliest pathological changes, and track preclinical markers. This shift is visible across several dimensions: the growing role of telemedicine and portable diagnostics; autonomous AI becoming a public health tool; and oculomics, which enables ocular image analysis to serve as a source of early biomarkers for systemic conditions. At the same time, the treatment paradigm is evolving: where repeated procedures once dominated (for example, frequent intravitreal injections), 2026 brings a move toward extended-duration regimens, implant-based drug delivery platforms, and disease control with fewer clinic visits.

    Another important axis is the alignment of patient expectations. Some new approaches (for example, in the management of dry AMD and geographic atrophy) do not promise to “restore vision,” but rather to buy time—slowing structural retinal damage and functional vision loss. As a result, in 2026, risk–benefit communication and shared decision-making become almost as important as the choice of molecule or device itself.

    Below, we outline the key eye care trends of 2026: what is changing, why it matters, and how it will shape ophthalmic and optometric practice.

    trend pol

    1. New Approaches to Treatment

    1.1. Geographic Atrophy (GA): The Introduction of Active Treatment in eye care trends 2026

    1.1.1. Injectable Therapies as Ophthalmology Trends 2026

    Following the key trends in Ophthalmology and Optometry in 2026 , development of injectable therapies for geographic atrophy, clinical practice is entering a “second wave” phase—where the main questions are no longer whether therapy is possible for a disease historically considered untreatable, but how that therapy should be practically implemented. In 2026, the focus will be on patient selection, treatment initiation, dosing frequency and duration, as well as monitoring.

    Currently, the FDA has approved the following injectable therapies for GA:

    • Izervay (avacincaptad pegol) — a C5 complement inhibitor.
    • Syfovre (pegcetacoplan) — a C3 complement inhibitor.

    Their mechanism of action involves reducing chronic inflammation and cellular damage in the retina and—most importantly—slowing the rate of GA lesion expansion.

    Because most available data focus on slowing atrophy progression (an anatomical endpoint) rather than guaranteed improvements in visual acuity, properly managing patient expectations becomes particularly critical in 2026. Clear discussions about therapeutic goals and limitations are emphasized in review publications addressing the first approved GA treatments.

    ga injections

    1.1.2. Multiwavelength Photobiomodulation

    Multiwavelength photobiomodulation is one of the most promising emerging approaches and key trends in Ophthalmology and Optometry in 2026 aimed at halting or slowing the progression of dry AMD through modulation of mitochondrial activity. The use of specific wavelengths (red and near-infrared light, approximately 590–850 nm) may reduce oxidative stress in retinal cells, inflammation, and apoptosis of retinal pigment epithelium cells.

    Its appeal is clear: a non-invasive procedure with significantly better acceptability for some patients compared with regular injections.

    Until recently, its effectiveness remained debated, with studies showing only temporary functional improvement and reduction in drusen volume. At ARVO 2025, updated results from the LIGHTSITE III study demonstrated that photobiomodulation can significantly slow visual acuity decline and reduce the rate of GA expansion.

    In 2025, the FDA approved photobiomodulation for AMD, creating strong prospects for broader clinical adoption in 2026.

    The 2026 trend is correct positioning and stratification:

    • Use of photobiomodulation based on clear indications for specific dry AMD stages and patient profiles.
    • Transparent communication of expectations, with goals focused on functional support and slowing GA progression rather than guaranteed vision restoration.

    photobiomodulation

    1.2. Extended Anti-VEGF Treatment Regimens

    Another major trend is the shift toward regimens with reduced injection frequency. This is not merely about comfort, but primarily about preventing missed visits: patients with AMD and diabetic retinopathy with DME often fall out of treatment due to visit burden. Thus, 2026 reinforces the principle that treatment must be effective in real-world conditions, not only under ideal adherence.

    The ranibizumab port delivery system (Susvimo, Port Delivery System) has become emblematic of this trend. In 2025, the FDA also approved Susvimo for the treatment of diabetic retinopathy.

    1.3. Gene Therapy for Macular Telangiectasia Type 2 (MacTel 2)

    MacTel 2 is a chronic, progressive neurodegenerative retinal disease that previously lacked active treatment.

    In 2025, the first implantation of ENCELTO (revakinagene taroretcel)—the first and currently only FDA-approved gene therapy for MacTel 2—was performed in the United States. ENCELTO enables a shift from observation to active intervention, with the potential to preserve visual function in early-stage patients.

    The device is based on encapsulated cell therapy technology: a capsule containing genetically modified cells that continuously secrete recombinant human ciliary neurotrophic factor (CNTF), acting as a neuroprotective agent that slows photoreceptor degeneration.

    In 2026, the focus will move from “innovation storytelling” to routine clinical implementation, including defining early selection criteria, monitoring protocols (OCT biomarkers, functional testing), and accumulating real-world long-term data on photoreceptor preservation and visual function.

    1.4. Gene Therapy for Neovascular AMD: Closest to Real Transformation

    For neovascular AMD, gene therapy remains one of the most anticipated eye care trends 2026 directions, as it has the potential to fundamentally change treatment logic—from repeated injections to a single vector administration enabling long-term therapeutic protein expression. Reviews published in 2025 highlight active programs such as RGX-314, ADVM-022 (Ixo-vec), 4D-150, and others.

    In 2026, the key questions shift from “does it work?” to “how does it work across different patient groups?” including:

    • Stability and duration of expression;
    • Inflammatory and immune response profiles;
    • Need for supplemental anti-VEGF therapy;
    • Patient selection criteria;

    Injection centers and post-procedure monitoring standards.

    2. Oculomics: The Eye as a “Window to the Body” and a Source of Digital Biomarkers

    Oculomics is one of the most compelling trends of 2026, as it reshapes ophthalmology’s role within medicine as a whole. The concept is simple: the eye is the only structure where microvasculature, neurons, and signs of metabolic and inflammatory processes can be visualized non-invasively at high resolution. As a result, fundus and OCT/OCTA data may serve as biomarkers for systemic conditions—from cardiovascular risk to neurodegenerative diseases.

    oculomics

    In contemporary research, oculomics is described as an approach that uses retinal images to assess systemic risks and conditions, with potential scalability for screening. In 2026, this “scale” becomes critical: data may originate not only from ophthalmology clinics, but also from optometric practices, mobile screening programs, and telemedicine.

    What truly changes in 2026:

    • A transition from “interesting correlations” to clinical utility, with models expected to demonstrate actionable impact on patient management.
    • Data verification and management of false-positive risk, including the communication of systemic risk to patients.
    • Integration with AI, as multidimensional patterns often exceed human interpretive capacity.

    A major risk in 2026 is over-marketing, reinforcing the need for externally validated models with clear clinical context that do not generate unnecessary “medical noise.”

    3. AI Technologies: From Decision Support to Autonomous Screening and Managed Patient Pathways

    votes

    3.1. Autonomous Diabetic Retinopathy Screening as a Scalable Standard

    In 2026, diabetic retinopathy remains the most studied use case for autonomous AI. In the United States, three FDA-approved autonomous DR screening systems are already described (LumineticsCore/IDx-DR, EyeArt, AEYE-DS). This positions AI as a practical tool capable of influencing large-scale screening programs, particularly in primary care, endocrinology clinics, and mobile settings.

    The FDA approval of AEYE-DS as a fully autonomous solution (portable camera plus algorithm) underscores that in 2026, AI increasingly “works where the patient is,” not only where an ophthalmologist is present.

    3.2. 2026 as the Year of Integration

    Successful projects in 2026 will be distinguished by:

    • Image quality standards and quality control;
    • Clear referral rules and urgency levels;
    • Mechanisms to ensure patient follow-through (scheduling, reminders, visit tracking);
    • Transparent documentation for clinicians, patients, and audit purposes.

    3.3. AI as “Invisible Infrastructure”

    In 2026, AI increasingly functions as invisible infrastructure: highlighting high-risk cases, prioritizing queues, generating structured reports, and standardizing interpretation. The impact is reduced variability, faster routing, and fewer missed cases.

    4. Telemedicine: From Video Calls to Retinal Screening and Remote Management

    By 2026, telemedicine in ophthalmology is no longer synonymous with video consultations. Its foundation is tele-imaging: transmission and assessment of retinal images (fundus photos, sometimes OCT) with structured referral protocols.

    At the same time, limitations become more openly discussed. Certain conditions and components of assessment may be less accurately captured remotely, requiring clear protocols to define which patients can be managed remotely and which require in-person examination.

    The 2026 trend is a shift from “tool” to “pathway”:

    • Tele-screening as the first step;
    • Automated or semi-automated reporting;
    • Referral and follow-up control;

    Remote reassessment for ongoing risk monitoring.

    5. New Devices and Portable Diagnostics: Closer, Faster, More Scalable Care

    trend vote

    5.1. Portable Diagnostics as the Foundation of Coverage

    Portable fundus cameras and compact diagnostic systems represent one of the most practical changes of 2026. Their value lies not only in technology, but in enabling large-scale screening in locations without full ophthalmic infrastructure.

    Synergy with autonomous AI (such as AEYE-DS) is especially strong here, supporting new partnership models:

    • Endocrinology and primary care clinics;
    • Optical stores and optometric practices;
    • Mobile programs for workplaces or regions.

    5.2. Devices Deliver Value Only with Quality Protocols

    Success depends not just on acquiring devices, but on defined protocols:

    • Staff training in image acquisition;
    • Minimum quality criteria;
    • Retake rules;
    • Handling ungradable cases.

    In 2026, image quality becomes decisive, as AI and telemedicine depend on it.

    5.3. Home and Remote Monitoring for Extended Treatment Regimens as eye care trends 2026

    As treatment intervals lengthen, the risk of between-visit deterioration increases. Thus, 2026 strengthens the role of:

    • Home functional monitoring;
    • Digital questionnaires and symptom trackers;

    Remote checkpoints signaling the need for earlier recall.

    6. 2026 as the Year of Standardized Myopia Control and Greater Risk Awareness

    By 2026, myopia control is no longer debated but formalized, grounded in consensus documents and systematic reviews. Myopia is increasingly recognized as a chronic disease with stages, phenotypes, and potentially blinding complications.

    Implications for practice:

    1. Focus on preventing progression to high myopia.
    2. Combined strategies integrating behavioral, optical, and pharmacologic interventions with monitoring.
    3. A shared language between optometrists and ophthalmologists, with coordinated patient pathways.
    4. Support from AI and telemedicine for risk detection and personalized care.

    Myopia control in 2026 becomes a structured, long-term risk-reduction process.

    7. Optogenetics: Expanding the Evidence Horizon in Inherited Retinal Degenerations

    In 2026, optogenetics moves beyond concept into longer-term observation. Publications from 2025 highlight functional stabilization or improvement in retinitis pigmentosa, emphasizing pragmatic success criteria.

    For patients with severe vision loss, meaningful outcomes extend beyond visual acuity charts to spatial orientation, object recognition, and contrast sensitivity. In 2026, discussions increasingly focus on realistic endpoints and honest communication of limitations.

    8. Less Invasive Interventions and Patient Comfort as Components of Clinical Effectiveness

    Another key eye care trends 2026 is less traumatic technology that preserves efficacy while improving patient experience. A notable example is the FDA approval of Epioxa (epi-on) for keratoconus in 2025, preserving corneal epithelium and potentially reducing pain and recovery time.

    This trend spans refractive surgery, ocular surface disease, and chronic condition management, reinforcing that patient experience is integral to adherence and clinical outcomes.

    trends summary

    Conclusion

    The ophthalmology trends 2026 clearly demonstrate that ophthalmology and optometry are entering a phase of mature transformation, where success is driven not by isolated innovations but by their integration into coherent clinical pathways. The focus is shifting from treating consequences to early detection, slowing progression, and long-term management of chronic eye disease.

    Active treatment of geographic atrophy, photobiomodulation, extended anti-VEGF regimens, and the emergence of gene therapies for MacTel 2 and neovascular AMD fundamentally reshape patient management—from observation or frequent procedures to strategies aimed at preserving retinal structure and function with minimal procedural burden. These approaches require careful patient stratification and responsible expectation management, as the goal increasingly becomes slowing neurodegeneration rather than restoring vision.

    At the diagnostic level, 2026 reinforces decentralization: portable devices, telemedicine, and autonomous AI bring screening closer to patients and enable coverage of much broader populations. Oculomics and AI transform ocular images into sources of digital biomarkers that may influence not only ophthalmic but also general clinical management. At the same time, it becomes clear that technological value is defined not by algorithms or devices, but by data quality, model validation, and clearly structured patient pathways—from screening to treatment.

     

  • Diabetic Retinopathy Screening and Treatment: a Complete Guide

    dr
    AI Ophthalmology and Optometry | Altris AI Maria Znamenska
    5 min

    Diabetic retinopathy screening and treatment: a complete guide

    Table of Contents

    1. What are the diabetic retinopathy screening methods?
    2. Fundus images in DR screening
    3. Can OCT detect diabetic retinopathy?
    4. What does diabetic retinopathy look like on OCT?
    5. What is optimal diabetic retinopathy screening frequency?
    6. What is the best treatment for diabetic retinopathy?
    7. Diabetic retinopathy management: key takeaways

     

    Diabetic retinopathy (DR) remains the leading cause of irreversible vision loss among working-age adults worldwide. According to the International Diabetes Federation (IDF), one in three patients with diabetes shows signs of DR, and 10% develop diabetic macular edema (DME). Early diagnosis, systematic screening, and individualized monitoring are essential to prevent vision loss.

    What are the diabetic retinopathy screening methods?

    Modern methods of DR screening include:

    • Telemedicine platforms – enable automated transmission of fundus images
    • Mobile fundus cameras – Wi-Fi–enabled devices for field examinations
    • Smartphone-based platforms – use specialized lenses for retinal imaging
    • Optical coherence tomography (OCT) – used to detect early retinal changes and diabetic macular edema, complementing fundus photography
    • AI-based systems –  solutions for automated image analysis for fundus and OCT

    In practice, these methods are often combined. For example, patients may undergo fundus photography, after which images are sent to telemedicine centres and analysed by AI algorithms. More complex cases are then referred to ophthalmologists.

    DR screening is frequently incorporated into annual diabetes check-ups conducted by primary care physicians trained in basic fundus photography. This approach, already successfully implemented in several EU countries, has reduced the incidence of severe DR.

    Innovations in DR screening have broadened access for rural residents, older adults, and individuals with limited mobility. Integration into national e-health systems enables automated reminders and electronic medical record linkage, incorporating laboratory data (HbA1c, blood pressure) alongside retinal images.

    Fundus images in DR screening

    Fundus photography is the optimal primary screening method due to its high diagnostic yield, cost-efficiency, simplicity, and ability to integrate with AI and telemedicine solutions. 

    It enables detection of microaneurysms, hemorrhages, exudates, and neovascularization, often before symptoms arise. National screening programs rely heavily on digital fundus imaging, which, when combined with AI, provides an efficient platform for mass DR detection.

    Advances in fundus imaging for diabetic retinopathy have improved efficiency. Modern non-mydriatic cameras deliver high-quality images without pupil dilation, while automated image analysis supports rapid identification of suspicious cases. Cloud storage and telemedicine platforms facilitate remote evaluation, increasing coverage in regions with limited ophthalmology services.

    Next-generation wide-field cameras further enhance detection by capturing peripheral pathology. Some devices also generate automated annotations, reporting lesion type, DR stage, and DME presence, thereby standardizing interpretation and expediting clinical decision-making.

    Diabetic retinopathy screening with fundus
    Diabetic retinopathy detection from fundus images

    Can OCT detect diabetic retinopathy?

    Yes. OCT can detect early structural changes in the retina and is increasingly used to complement standard diabetic retinopathy screening.

    • Role in DR screening – While not a primary screening tool, OCT is now widely applied alongside fundus photography. It is especially valuable for detecting early diabetic macular edema (DME) and subtle morphological changes in the central retina not visible during ophthalmoscopy.
    • High-resolution imaging – OCT visualizes changes such as photoreceptor layer disruption, subclinical intraretinal fluid, neurosensory retinal thickening, and foveal edema. These findings often appear before clinically significant macular edema.
    • Differential diagnosis – OCT also helps identify other causes of vision loss in diabetic patients, for example, ruling out age-related macular degeneration.
    • Clinical evidence – Studies confirm that combining OCT with fundus photography increases diagnostic accuracy for DME. Experts therefore recommend this approach for patients with long-standing diabetes, poor glycemic control, or vision complaints.

    What does diabetic retinopathy look like on OCT?

    On OCT, diabetic retinopathy (DR) can appear as a combination of retinal structural damage, fluid accumulation, and microvascular changes that may not be visible on fundus photography.

    Typical OCT findings in DR include:

    • Photoreceptor damage – loss of outer retinal layers, especially the ellipsoid zone
    • Intraretinal hyperreflective foci, hard exudates
    • Microaneurysms – visible as small, round changes within the retina
    • Retinal thickness changes and neuroepithelial layer atrophy
    • Diabetic macular edema  – with intraretinal hyporeflective cystoid spaces and neuroepithelial swelling
    • Subretinal fluid  – resulting from increased vascular permeability
    • DRIL – disorganization of inner retinal layers, associated with poor prognosis
    • Epiretinal membranes – potential precursors to retinal detachment

     

    Advanced findings
    OCT can also reveal proliferative changes and tractional zones, which may progress to tractional retinal detachment.

    OCTA insights
    Beyond structural analysis, OCT angiography (OCTA) allows visualization of retinal microvascular changes without the contrast injection. OCTA helps identify areas of neovascularization, capillary network disruption, and the degree of macular ischemia.

    Diabetic retinopathy screening OCT
    Diabetic retinopathy (hyperreflective foci, moderate destruction of the ellipsoid zone and RPE), diabetic macular edema (neuroepithelium edema, intraretinal cystic cavities), epiretinal membrane

    What is optimal diabetic retinopathy screening frequency?

    The screening frequency for diabetic retinopathy is tailored to diabetes type, disease stage, and risk factors:

    Type 1 diabetes

    • First screening: 3–5 years after diagnosis (due to onset in children and young adults)
    • Then annually, if no DR is detected
    • If DR is present, frequency depends on severity

    Type 2 diabetes

    • Screening at diagnosis, as DR may already be present.
    • If no DR, repeat every 1–2 years.

    Patients with confirmed DR

    • No visible DR, mild non-proliferative diabetic retinopathy (NPDR), no DME — every 1–2 years
    • Moderate NPDR — every 6–12 months.
    • Severe NPDR — every 3 months.
    • Proliferative DR (PDR) — monthly, with regular OCT monitoring of the macula.
    • DME — monthly if center-involving, every 3 months if not.

    Pregnant women with type 1 or type 2 diabetes

    • Screening before conception or in the first trimester, with follow-up each trimester and postpartum
    • Screening is not required for gestational diabetes without pre-existing diabetes

    Post-treatment patients (laser or vitrectomy)

    • Typically, every 3–6 months during the first year, individualized based on retinal stability
    Screening DR with OCT
    Diabetic retinopathy (hyperreflective foci, microaneurysms, destruction of the ellipsoid zone and RPE), diabetic macular edema (neuroepithelial swelling, intraretinal cystic cavities), epiretinal membrane.

    Monitoring of diabetic retinopathy progression

    Ongoing diabetic retinopathy monitoring is essential to detect early signs of progression and guide treatment decisions. A key focus in monitoring is diabetic macular edema (DME), which represents fluid accumulation in the macula due to leakage from damaged retinal vessels. DME is a common complication of DR and the leading cause of vision loss in diabetic patients. OCT plays a central role in detecting DME and identifying structural changes that indicate disease progression.

    OCT biomarkers in DME

    OCT enables precise visualization of retinal layers with micron resolution, confirming DME presence and providing prognostic biomarkers for treatment selection and monitoring. 

    The main OCT biomarkers in DME include:

    • Cystoid hyporeflective intraretinal spaces – usually in the inner nuclear layer (INL) or outer plexiform layer (OPL). Their number, size, and location correlate with edema severity. Large or confluent spaces may indicate chronicity and a worse prognosis.
    • Subretinal fluid – accumulation between the neurosensory retina and retinal pigment epithelium. Often associated with a better visual prognosis, but requires close monitoring and consideration in anti-VEGF therapy.
    • Central macular thickening – a key marker of treatment effectiveness and disease activity.
    DME screening as the process of DR screening
    Diabetic retinopathy (hyperreflective foci, hard exudates), diabetic macular edema (neuroepithelial swelling, intraretinal cystic cavities).

    OCT red flags in DR progression

    Beyond DME, OCT helps identify broader signs of DR worsening that require therapy reassessment:

    • Progressive central macular thickening despite treatment
    • Increase in intraretinal or subretinal fluid, or enlargement of cystoid spaces
    • New hyperreflective foci, reflecting inflammatory activity (these may precede hard exudates or RPE changes)
    • Development or progression of disorganization of inner retinal layers (DRIL), an independent predictor of poor prognosis, even when orphological improvement is seen on OCT
    • Ellipsoid zone disruption, indicating photoreceptor damage
    • Signs of macular ischemia, although better evaluated with OCTA, indirect signs on OCT may include thinning of the inner retinal layers.
    • Tractional changes, such as epiretinal membranes, inner retinal stretching, or macular traction
    OCT biomarkers in DME
    Diabetic retinopathy (hyperreflective foci, hard exudates, destruction of the ellipsoid zone and RPE, disorganisation of the retinal inner layers (DRIL)), Diabetic macular edema (neuroepithelial swelling, intraretinal cystic cavities), subretinal fluid.

    The appearance of these OCT features should prompt clinicians to reconsider therapy, whether by switching anti-VEGF agents, introducing steroids, using combination therapy, or referring patients for surgical evaluation when traction is present.

    Example of diabetic retinopathy screening OCT
    Diabetic retinopathy (hyperreflective foci, hard exudates, destruction of the RPE), Diabetic macular edema (neuroepithelial swelling, intraretinal cystic cavities), subretinal fluid.

    What is the best treatment for diabetic retinopathy?

    The treatment of diabetic retinopathy is based on a comprehensive approach that takes into account not only the disease stage, but also individual patient characteristics, OCT findings, comorbidities, and prognostic biomarkers. Modern strategies combine preventive, pharmacological, and surgical methods, as well as personalized medicine tools based on retinal imaging.

    Criteria for treatment selection

    The choice of therapy is guided by the following parameters:

    • DR stage –  non-proliferative, proliferative, with or without DME
    • Form of macular edema –  focal, diffuse, with or without subretinal fluid
    • Presence of DRIL, EZ disruption, ischemic changes on OCTA
    • Response to previous treatment –  anti-VEGF, steroids, laser
    • Comorbidities –  renal insufficiency, hypertension, poor adherence

    For low-risk patients, observation or focal laser may be sufficient. Patients with significant DME usually require anti-VEGF or steroid injections. Those with proliferative DR often undergo panretinal laser photocoagulation or vitrectomy.

    Diabetic retinopathy treatment methods

    The main treatment options for diabetic retinopathy include pharmacotherapy, laser therapy, surgical intervention, and personalized approaches based on OCT.

    1. Pharmacotherapy: anti-VEGF and steroids

    Anti-VEGF agents such as aflibercept, ranibizumab, and bevacizumab are the first-line therapy for diabetic macular edema. They are especially effective in patients with pronounced edema and without ischemia.

    New drugs with extended duration of effect, including port delivery systems, are becoming available.

    Steroids are used when DME is persistent, when patients do not respond to anti-VEGF therapy, or in cases with an inflammatory phenotype.

    2. Laser therapy

    Injections have largely replaced laser therapy in the treatment of DME. However, panretinal photocoagulation remains the standard treatment for proliferative DR.

    Subthreshold micropulse laser is increasingly applied for focal edema, as it minimizes tissue damage.

    3. Surgical treatment

    Vitrectomy is recommended in cases of tractional macular edema, vitreous hemorrhage, or retinal detachment.

    4. Personalization with OCT

    Modern treatment protocols use OCT biomarkers to tailor therapy and improve prognosis.

    Patient education and multidisciplinary care

    DR treatment outcomes strongly depend on adherence. Patients must be informed about the need for regular injections, monitoring, and systemic control. Coordinated care involving ophthalmologists, endocrinologists, and family doctors helps maintain stable glycemic control and slows DR progression.

    Diabetic retinopathy management: key takeaways

    Diabetic retinopathy is a progressive disease, but modern diagnostics and treatments make it possible to preserve vision and improve outcomes. OCT and OCTA have become essential tools for early detection, risk assessment, and personalized therapy planning. Effective management combines pharmacotherapy, laser treatment, surgery, and patient education. Multidisciplinary care and strong patient adherence remain crucial for long-term success. With timely monitoring and tailored treatment, the progression of diabetic retinopathy can be significantly slowed.

    Disclaimer: USA FDA 510(k) Class II; Altris Image Management System (Altris IMS); AI/ML models and components intended to use for research purposes only, not for clinical diagnosis purposes.

  • Altris Achieves MDSAP Certification, Strengthening Global Presence and Clinical Credibility

    AI Ophthalmology and Optometry | Altris AI Altris Inc.
    22.08.2025
    1 min.

    22.08.2025

    Altris Achieves MDSAP Certification, Strengthening Global Presence and Clinical Credibility

    Altris Inc., a leading decision support platform for OCT scan analysis, proudly announces that it has passed the Medical Device Single Audit Program (MDSAP) audit. 

    Based on the objective evidence reviewed, this audit enables a recommendation for Initial certification to ISO 13485:2016 MDSAP, including the requirements of Australia, Brazil, Canada, the USA, and Japan, and EU 2017/745, and that the scope was reviewed and found to be appropriate for ISO 13485:2016/MDSAP and EU MDR 2017/745.

    The results of this audit are suitable for obtaining the EU MDR 2017/745 certificate, which we are currently in the process of pursuing.

    ISO 13485:2016/MDSAP enables Altris Inc. to “design, manufacture, and distribute medical software for the analysis and diagnosis of retinal conditions globally.” It is recognized by leading global health regulators and signals trust and credibility to public and private hospitals, eye care networks, and optometry chains worldwide. 

    MDSAP Certification also opens the door for Altris Inc. to enter new international markets, including Asia-Pacific, Latin America, and additional parts of North America. The MDSAP certification allows a single regulatory audit of Altris AI’s Quality Management System (QMS) to be recognized by multiple major health authorities, including:

    • FDA (United States)
    • Health Canada
    • TGA (Australia)
    • ANVISA (Brazil)
    • MHLW/PMDA (Japan)

    MDSAP enforces that the Quality Management System for developing, testing, and maintaining AI Decision Support for OCT complies with international medical device standards. Altris AI Decision Support for OCT Analysis system that facilitates the detection and monitoring of over 70 retinal pathologies and biomarkers, including early signs of glaucoma, diabetic retinopathy, and age-related macular degeneration. 

    “Achieving ISO 13485:2016 certification under the stringent MDSAP requirements is a significant accomplishment for our team,” said Maria Znamenska, MD, PhD, Chief Medical Officer at Altris AI. “As a practicing ophthalmologist, I understand that the safety of patients is the absolute priority. Especially when implementing such an innovative technology as AI for decision support in OCT analysis. That is why we did everything possible to build quality processes that guarantee the highest level of safety for the patients.

    This certification enables Altris AI to expand its presence and offer eye care specialists upgraded functions such as GA progression monitoring, flags for smart patient filtering, or automated drusen count.”

    “This is more than a regulatory milestone for our team  – it’s a signal to the global eye care community that Altris AI is a trusted clinical partner,” said Andrey Kuropyatnyk, CEO of Altris AI. 

    About Altris 

    Founded in 2017, Altris AI is at the forefront of integrating artificial intelligence analysis into ophthalmology and optometry.

    The company’s platform is designed to assist eye care professionals in interpreting OCT scans with greater objectivity and make informed treatment decisions. It’s a vendor-neutral platform compatible with OCT devices from 8 major global manufacturers. With a commitment to innovation and compliance, Altris AI continues to develop solutions that set higher standards in the eye care industry and improve patient outcomes.

    Disclaimer: USA FDA 510(k) Class II; Altris Image Management System (Altris IMS); AI/ML models and components intended to use for research purposes only, not for clinical diagnosis purposes.

     

  • Glaucoma OCT Monitoring Guide: From Detection to Long-Term Care

    glaucoma
    AI Ophthalmology and Optometry | Altris AI Maria Znamenska
    5 min

    Glaucoma OCT Monitoring Guide: From Detection to Long-Term Care

    Table of Contents

    1. Glaucoma detection: why early diagnosis is critical
    2. How to detect glaucoma in early stages: key approaches
    3. Advanced imaging for glaucoma: OCTA
    4. OCT glaucoma monitoring after diagnosis
    5. Additional tools for monitoring glaucoma treatment
    6. Glaucoma OCT: the foundation of long-term glaucoma care

    Optical Coherence Tomography (OCT) has fundamentally changed glaucoma diagnostics over the past two decades. It enables non-invasive, micron-level imaging of retinal microstructures and provides objective measurements of the retinal nerve fibre layer (RNFL), ganglion cell complex (GCC), and optic nerve head (ONH) parameters. Moreover, the advent of OCT angiography (OCTA) has introduced a new dimension in assessing microcirculation—complementing structural analysis and potentially predicting glaucoma progression.

    Today,  OCT is the standard for early detection, monitoring, and risk stratification of glaucoma progression, as recognised in international clinical guidelines. When combined with functional tests, tonometry, and anterior chamber angle assessment, OCT becomes the foundation for personalised glaucoma management.

    Glaucoma detection: why early diagnosis is critical

    Early glaucoma diagnosis is vital, as optic nerve damage caused by the disease is irreversible. Many patients seek care only after significant vision loss has occurred, at which point treatment may slow progression but cannot restore lost function. This is why ophthalmologists emphasise the importance of glaucoma detection at preclinical or pre-perimetric stages.

    How does OCT help in early glaucoma detection?

    OCT provides high-resolution imaging of the retina and optic nerve head. Unlike subjective functional tests, OCT delivers objective, quantitative data on ganglion cells, nerve fibre layers, and the neuroretinal rim, enabling recognition of even subtle structural changes.

    Recent OCT models go further, allowing detailed visualisation of the lamina cribrosa, a structure known to be altered in glaucoma. Today, OCT is recognised as a key diagnostic tool in the guidelines of both the European Glaucoma Society and the American Academy of Ophthalmology.

    How to detect glaucoma in early stages: key approaches

    Early glaucoma detection relies on evaluating structural and functional parameters of the eye, supported by advanced imaging techniques. The three main parameters assessed with glaucoma OCT are:

    • Ganglion Cell Complex (GCC) thickness and asymmetry
    • Retinal Nerve Fibre Layer (RNFL) thickness
    • Optic nerve head parameters with the DDLS scale

    In addition, OCT Angiography (OCTA) provides complementary insights into ocular microvasculature that may indicate early glaucomatous damage.

    Glaucoma detection parameter 1: GCC thickness and asymmetry

    One of the most sensitive preclinical biomarkers of glaucomatous damage is thinning of the ganglion cell complex (GCC), which includes the ganglion cell layer (GCL), inner plexiform layer (IPL), and macular RNFL (mRNFL). It is assessed through macular OCT scans. Damage in this area is particularly critical, as 50–60% of all ganglion cells are concentrated within the central 6 mm zone.

    Assessing asymmetry between the superior and inferior halves of the macula within the GCC is a key diagnostic indicator. Studies show that minimum GCC thickness and FLV/GLV indices (Focal Loss Volume / Global Loss Volume) are predictors of future RNFL thinning or emerging visual field defects. Asymmetry maps significantly ease clinical interpretation.

    A newer approach—vector analysis of GCC loss—also allows clinicians to visualise the direction of damage, which often correlates with future visual field defects.

    Measuring Ganglion Cell Complex (GCC) Thickness and GCC Asymmetry

    Glaucoma detection parameter 2: RNFL thickness analysis

    RNFL analysis is among the most widely used glaucoma diagnostic methods. The RNFL reflects the axons of the ganglion cells and is readily measured in optic nerve scans. Temporal sectors are the most sensitive and often show the earliest changes.

    Even when the overall thickness appears normal, localised defects should raise suspicion. Sectoral thinning of ≥5–7 μm is considered statistically significant. Age-related RNFL decline (~0.2–0.5 μm/year) must also be considered.

    Glaucoma detection parameter 3: optic nerve head parameters and the DDLS scale

    Evaluating the optic nerve head (ONH) is essential. OCT enables automated assessment of optic disc area, cup-to-disc ratio (C/D), cup volume, rim area, and the lamina cribrosa.

    The Disc Damage Likelihood Scale (DDLS) classifies glaucomatous ONH changes based on the thinnest radial rim width or, if absent, the extent of rim loss. Unlike the C/D ratio, DDLS adjusts for disc size. When combined with OCT, DDLS significantly enhances objective clinical assessment.

    In high myopia, automatic ONH segmentation often misclassifies anatomy. Here, newer deep learning–based segmentation models improve accuracy.

    Evaluating the optic nerve head (ONH)

    Advanced imaging for glaucoma: OCTA

    OCT Angiography (OCTA), an advanced glaucoma OCT technique, provides unique insights into ocular circulation. It enables evaluation of:

    • Vessel density in the peripapillary region
    • Optic nerve and macular vascularisation
    • Retinal versus ONH perfusion in both eyes

    OCTA for early glaucoma detection

    Studies confirm that reduced vessel density correlates with RNFL loss and visual field deterioration, and often precedes both.

    OCT glaucoma monitoring after diagnosis

    Glaucoma can progress even with stable intraocular pressure (IOP), making regular structural assessment of the optic nerve and inner retina crucial for therapy adjustment.

    Glaucoma OCT is not only a diagnostic tool but also the primary method for monitoring glaucomatous damage. Unlike functional tests, OCT can detect even minimal RNFL or GCL thinning months or even years before visual field loss appears. With serial measurements and built-in analytics, OCT allows clinicians to track glaucoma progression rates and identify high-risk patients.

    Methods for glaucoma progression monitoring

    There are two main approaches to monitoring glaucoma progression with OCT:

    Method 1: event-based analysis

    This method compares current scans with a reference baseline, identifying whether RNFL or GCL thinning exceeds expected variability.

    ? Example: Heidelberg Eye Explorer (HEYEX) highlights suspicious areas in yellow (possible loss) or red (confirmed loss).

    Limitations include sensitivity to artifacts, image misalignment, and segmentation quality. A high-quality baseline scan is essential.

    Method 2: trend-based analysis

    This approach accounts for time. The software plots RNFL/GCL thickness trends over time in selected sectors or globally and calculates the rate of progression.

    Examples:

    • RNFL thinning >1.0 μm/year is clinically significant.
    • Thinning >1.5 μm/year indicates active progression.

    It also accounts for age-related changes, helping differentiate physiological vs. pathological decline.

    Visual assessment in glaucoma OCT

    Qualitative analysis also plays an important role in detecting glaucoma progression. Key aspects include:

    • Focal RNFL thinning (localised defects)
    • Changes in the neuroretinal rim
    • Alterations in ONH cupping
    • GCL/GCIPL comparison (superior vs. inferior) on macular maps
    • New segmentation artifacts (may mimic progression)

    Visual glaucoma OCT analysis

    OCT glaucoma findings that indicate true progression

    Five OCT findings suggest true glaucomatous progression:

    1. RNFL thinning >10 μm in one sector or >5 μm in several sectors
    2. New or worsening GCL asymmetry (yellow to red colour shift)
    3. Emerging or expanding RNFL defects on colour maps
    4. Increasing C/D ratio with concurrent rim thinning
    5. New localised areas of vessel density loss on OCTA

    Particular attention should be paid to the inferotemporal and superotemporal RNFL sectors, where 80% of early changes occur.

    Frequency of glaucoma OCT monitoring

    According to the AAO and EGS, the recommended frequency for OCT glaucoma monitoring is:

    • High-risk patients: every 6 months
    • Stable patients: once a year
    • For trend analysis: at least 6–8 scans over 2 years to ensure statistical reliability

    Looking ahead, broader use of AI for glaucoma is expected to support earlier and more accurate detection, while also reducing false positives.

    Additional tools for monitoring glaucoma treatment

    While glaucoma OCT is essential for detecting structural changes, a comprehensive glaucoma assessment requires a multimodal approach. Additional tools include perimetry, tonometry, optic disc fundus photography, and gonioscopy.

    Perimetry (visual field testing)

    Functional assessment of the optic nerve remains crucial. Standard Automated Perimetry (SAP), most often performed with Humphrey Visual Field Analyzer protocols (24-2, 30-2, 10-2), is the most widely used method.

    Key indices:

    • MD (mean deviation): average deviation from normal values
    • PSD (pattern standard deviation): highlights localised defects
    • VFI (visual field index): summarises global visual function; useful for tracking glaucoma progression
    • GHT (glaucoma hemifield test): automated analysis of field asymmetry

    ? Important: In 30–50% of cases, structural changes such as RNFL thinning on OCT precede visual field defects; in others, functional loss appears first. Best practice relies on integrated OCT and perimetry to correlate damage location and monitor glaucoma progression more precisely.

    Combined OCT and perimetry remains the gold standard for progression monitoring.

    Tonometry

    Intraocular pressure (IOP) is the only clearly modifiable risk factor associated with both glaucoma onset and progression.

    • Goldmann applanation tonometry remains the gold standard.
    • A single IOP reading is insufficient — diurnal fluctuations are an independent risk factor, particularly in normal-tension glaucoma.

    Optic disc fundus photography

    Although subjective, fundus imaging remains valuable for documenting glaucomatous changes, especially in borderline cases. Unlike OCT, it does not provide quantitative data but helps visualise morphology over time.

    What to assess:

    • Progressive disc cupping
    • Changes in neuroretinal rim shape or colour
    • Disc margin haemorrhages (linked to faster RNFL thinning and visual field loss)
    • Inter-eye comparisons

    Gonioscopy

    Gonioscopy evaluates the anterior chamber angle and helps exclude angle-closure, pigmentary, or pseudoexfoliative glaucoma. It also identifies:

    • Neovascularisation
    • Trabecular meshwork abnormalities
    • Other angle anomalies

    Patient education: a key to successful glaucoma management

    Accurate glaucoma detection and therapy are not enough; adherence to monitoring and treatment is equally critical.

    The challenge:

    • Early-stage glaucoma is asymptomatic.
    • Many patients underestimate its seriousness, leading to poor compliance, missed follow-ups, and discontinuation of therapy.

    The goals of patient education:

    • Explain that glaucoma progresses silently but can lead to irreversible blindness if untreated.
    • Use real-life examples (before/after OCT scans, visual field comparisons) to illustrate progression.
    • Teach patients to recognise warning signs (vision changes, eye pain).
    • Visualise disease progression with AI tools showing RNFL loss and future risk.

    Educational resources may include:

    • Printed brochures in patient-friendly language
    • Videos featuring OCT images with explanations
    • Doctor–patient in-clinic discussions
    • Telemedicine platforms with reminders and follow-up prompts

    According to the AAO, patients who understand glaucoma are 2.5 times more likely to adhere to treatment and attend check-ups.

    Glaucoma OCT: the foundation of long-term glaucoma care

    Glaucoma OCT now plays a central role in both diagnosis and monitoring. Its ability to detect subtle structural changes before measurable functional loss makes early intervention possible and increases the chances of preserving vision.

    But technology alone is not enough. Accurate interpretation, combined with strong patient education, is essential. When patients understand their disease and the role of glaucoma OCT in treatment, adherence improves and outcomes are better.

    OCT is not just a diagnostic device; it is the cornerstone of an integrated glaucoma management strategy, from initial screening to long-term monitoring and treatment optimisation.

    Disclaimer: USA FDA 510(k) Class II; Altris Image Management System (Altris IMS); AI/ML models and components intended to use for research purposes only, not for clinical diagnosis purposes.

  • Dry AMD Treatment: Modern Ways to Slow Progression

    AI Ophthalmology and Optometry | Altris AI Maria Znamenska
    5 min.

    Dry AMD Treatment: Modern Ways to Slow Progression

    Table of Contents

    1. What are the dry macular degeneration treatment breakthroughs?
    2. How to monitor dry AMD progression with OCT?
    3. What are the challenges of dry age-related macular degeneration monitoring?
    4. How do I organize efficient dry AMD monitoring in my clinic?
    5. Why are optometrists on the front line of early AMD detection?
    6. How can OCT insights help support patients emotionally?
    7. Conclusion

    For many years, dry or non-exudative AMD was seen as untreatable. Most research focused on wet AMD and anti-VEGF therapy.

    Today, this paradigm is shifting. Around 30% of patients with age-related macular degeneration are affected by the dry form, which makes finding effective therapies critical. Recently, the first FDA-approved drugs for dry macular degeneration injections have appeared, offering hope to patients with geographic atrophy (GA). Alongside, new physiotherapeutic methods, such as multi-wavelength photobiomodulation, are showing promising results.

    Geographic atrophy (GA) is an advanced, irreversible form of dry AMD. It occurs when parts of the retina undergo cell death, leading to progressive vision loss. But even the best dry AMD treatment is incomplete without objective measurement. That’s where modern tools for macular degeneration monitoring come in, and optical coherence tomography (OCT) is now at the core of this process.

     

    What are the dry macular degeneration treatment breakthroughs?

    The latest dry macular degeneration treatment breakthroughs include:

    • Multiwavelength photobiomodulation
    • FDA-approved injectable drugs
    • AREDS 2-based supplements

    In the past, recommendations focused only on reducing risks — quitting smoking, managing blood pressure, and eating a healthy diet.
    Now, new approaches to dry AMD treatment combine prevention with active therapies to slow AMD progression and especially the advance of GA.

    1. Dry AMD treatment using multiwavelength photobiomodulation

    Multiwavelength photobiomodulation for AMD is a promising new treatment. It uses specific red and near-infrared light wavelengths (~590–850 nm) and helps reduce oxidative stress, inflammation, and pigment epithelial cell death.

    One of the best-known systems is Valeda Light Therapy, which delivers controlled multiwavelength light directly to the retina.

    The LIGHTSITE III clinical trial showed that photobiomodulation can slow the decline in visual acuity and reduce the rate of GA expansion.

    Limitations:

    • Only 3–5 years of long-term data available
    • Requires costly equipment and training
    • Effectiveness in late-stage GA remains unclear

    Dry Macular Degeneration Treatment Breakthroughs: Multiwavelength photobiomodulation

    2. Dry AMD treatment using FDA-approved injectable drugs

    AMD injection drugs approved by the FDA include Izervay and Syfovre.

    • Izervay (avacincaptad pegol): A C5 complement protein inhibitor that targets the complement cascade involved in chronic retinal inflammation and damage. Izervay, approved for geographic atrophy secondary to dry AMD, has demonstrated a reduced rate of GA progression in clinical trials.
    • Syfovre (pegcetacoplan): A C3 complement inhibitor that blocks the central component of the complement system to reduce inflammation. Syfovre is the first FDA-approved treatment for GA that targets complement component C3, showing a clinically meaningful slowing of GA progression.

    Both dry macular degeneration injections have shown the ability to slow GA progression compared to placebo. Although they do not restore vision, slowing vision loss is a meaningful clinical outcome.

    Key considerations for injections:

    • Administered intravitreally, usually monthly or every other month
    • Require doctor training and patient education on risks (e.g., endophthalmitis, increased intraocular pressure)
    • Cost and access may limit use

    Dry macular degeneration injections

    3. Dry AMD treatment using AREDS 2-based supplements

    AREDS 2 supplements are antioxidant supplements containing lutein, zeaxanthin, vitamins C and E, zinc, and copper. They can reduce the risk of progression to late-stage AMD by around 25% over five years, according to the AREDS 2 study.

    Pros:

    • Widely available
    • Safe, with low side effect risk
    • Supported by strong clinical evidence

    Cons:

    • Do not directly treat GA
    • Cannot replace active therapies such as dry macular degeneration injections or photobiomodulation

    How to monitor dry AMD progression with OCT

    Effective macular degeneration monitoring relies on OCT. It is the gold standard for tracking retinal changes and predicting GA development.
    Without OCT, clinicians are essentially “flying blind” when assessing AMD progression.

    Key monitoring parameters of AMD progression

    The key monitoring parameters of AMD progression include GA area, drusen, and distance to fovea.

    1. GA area

    This is the main metric when using intravitreal eye injections. Modern OCT systems provide GA measurements in mm², allowing doctors to objectively track changes over time.

    Even if patients don’t notice symptoms, a growing GA area signals disease progression. In FDA trials for Syfovre and Izervay, the GA area was the primary endpoint.

    2. Drusen

    Drusen vary in number, size, and shape. A reduction or disappearance of drusen on OCT may seem like an improvement, but could actually indicate a transition to the atrophic stage. Regular monitoring helps detect this early.

    3. Distance to fovea

    The closer GA is to the fovea, the greater the risk of sudden vision loss.

    Early detection enables:

    • Referral to an ophthalmologist
    • Timely conversations about potential vision loss

    OCT outputs for AMD progression monitoring and communication

    Useful OCT outputs for AMD progression monitoring and communication are heat maps and progress charts.

    1. Heat maps

    Modern OCT systems use color-coded heat maps to show pigment epithelium thickness and drusen distribution. This visual format helps in several ways:

    • Makes interpretation easier for clinicians
    • Helps patients better understand their condition
    • Encourages patients to stay engaged with treatment

    In clinical practice, it serves as a highly effective communication tool.

     

    2. Progress charts

    Most OCT systems can compare results across visits

    • For doctors: Helps guide treatment decisions
    • For patients: Provides visual proof of stabilization or worsening

     

    The role of objective evidence in patient treatment

    Patients may question the value of long-term treatments or costly procedures.

    OCT is the gold standard for patient motivation. When patients see actual changes, they’re more likely to agree to treatment.

    What are the challenges of macular degeneration monitoring?

    Monitoring dry AMD presents technical, organizational, and psychological challenges. Doctors of all levels of experience should be aware of them.

    1. Invisible microchanges

    Early atrophy or drusen changes may be subtle. Patients may not notice them due to eccentric fixation or slow adaptation.

    Without OCT, doctors may miss early GA, delaying treatment.

    It is necessary to perform OCT even when there are only minor changes in visual acuity or if the patient reports image distortion (metamorphopsia).

    2. Subjective assessment

    Ophthalmoscopy reveals only obvious changes. Subtle drusen or early atrophy might be missed.

    Relying on patients’ complaints is risky — many don’t notice issues until it’s too late.

    That’s why even small optical practices should establish clear referral pathways for OCT exams.

    3. Unnecessary referrals

    Optometrists or primary care doctors often refer patients to ophthalmologists “just in case,” because they don’t have access to OCT or lack experience interpreting it.

    This puts unnecessary strain on specialists. In many cases, nothing new is done after the exam because there are no previous images for comparison.

    4. Limitations of OCT devices

    Not all OCT devices measure GA or track drusen equally well. Older models may lack automated measurements of atrophy area.

    In some cases, referral to a center with advanced OCT is necessary.

    OCT devices used to monitor AMD progression

    How do I organize efficient dry AMD monitoring in my clinic?

    Practical tips:

    1. Create a baseline chart with OCT images during the first visit.

    2. Monitor regularly:

    • Every 6–12 months in the early stages
    • Every 3–6 months with GA
    • Before each intravitreal injection

    3. Standardise scanning protocols to minimise variability.

    4. Use OCT software tools for image comparison, GA calculation, heat maps.

    5. Communicate clearly with patients about drusen, atrophy, and treatment goals.

    Why are optometrists on the front line of early AMD detection?

    Optometrists play a key role in spotting the early signs of AMD, as they are often the first point of contact in eye care.

    They perform initial screenings, provide guidance on lifestyle and supplements, and ensure regular OCT monitoring.

    If drusen, pigment epithelial changes, or signs of GA are present, they refer patients to ophthalmologists for confirmation and treatment planning.

    How can OCT insights help support patients emotionally?

    Patients with dry AMD often ask: “Why bother if it can’t be cured?”
    Here, OCT plays an emotional as well as clinical role. Showing OCT scans can:

    • Prove the value of slowing AMD progression
    • Emphasise patients’ role in preserving sight
    • Reassure them that long-term care makes a difference

     

    Dry macular degeneration treatment breakthroughs: key takeaways for slowing AMD progression

    Modern dry macular degeneration treatment breakthroughs, including FDA-approved injections, photobiomodulation, and AREDS 2 supplements,  have changed the outlook for patients.
    Yet treatment alone is not enough. Without consistent macular degeneration monitoring using OCT, the benefits of these therapies may be lost.

    The future of dry AMD treatment lies in a partnership between optometrists, ophthalmologists, and patients. Together, with breakthrough therapies and precise monitoring, we can slow AMD progression and give patients the best chance of preserving vision.

    Disclaimer: USA FDA 510(k) Class II; Altris Image Management System (Altris IMS); AI/ML models and components intended to use for research purposes only, not for clinical diagnosis purposes.

  • AItris for Buchanan Optometrists

    AI Ophthalmology and Optometry | Altris AI Mark Braddon
    3 min.

    Disclaimer: In the USA, Altris Image Management System (Altris IMS) has USA FDA 510(k) Class II clearance; AI/ML models and components are intended to use for research purposes only, not for clinical diagnosis purposes.

    Buchanan Optometrists and Audiologists is no ordinary eye-care center.

    The Association of Optometrists (AOP) estimates 17,500 registered optometrists working across roughly 6,000 practices in the UK. The UK Optician Awards recognise the best in the UK Optical industry.  To even make the top 5 is our equivalent of an Oscar nomination! They are the only practice in the UK to consistently make the top 5 since 2008. Buchanan Optometrists describe themselves as innovators who “continually push boundaries.”

    Their list of awards speaks for itself:

    • 2012 – National Optician Award for Premium Lens Practice of the Year
    • 2013 – Luxury Eyewear Retailer of the Year and Premium Lens Practice of the Year
    • 2013 – Winner at the UK Optician Awards
    • 2015–2016 – Best UK Independent Practice
    • 2017–2018 – Optometrist of the Year, with Alisdair Buchanan named the top optometrist in the UK
    • 2023–2024 – Best Independent Optician and Best Technology Practice

    And this list is not finished, as Alisdair Buchanan, the Owner and the Director of the center, is investing in their growth continuously.

    Buchanan Optometrists are being recognized for their achievements

    With a track record like this, it’s no surprise that Buchanan Optometrists was among the first to adopt AI for Decision Support in OCT. AI is rapidly becoming a vital part of modern eye care, and leading centers are already embracing it.

    Mark Braddon, Altris AI VP of Clinical Sales, sat down with Alisdair Buchanan, the owner and director of the practice, to talk about his experience with AI and what it means for the future of optometry.

    Mark Braddon: You’ve been working with OCT for years. What changed in your practice after bringing in Altris AI Decision Support for OCT?

    Alisdair Buchanan, Owner: As someone already confident in interpreting scans, I didn’t need help understanding OCT—but Altris provides something even more valuable: a kind of second opinion. It supports my clinical decisions and offers an added layer of reassurance, particularly in borderline or complex cases. That’s not just helpful—it’s powerful.

    I didn’t think our OCT assessments could improve much—until we started using Altris AI. It’s not just an upgrade; it’s become an indispensable part of delivering modern, high-quality eye care. Altris AI has significantly enhanced the way we interpret OCT scans. What used to require prolonged focus and cross-referencing now takes moments, without sacrificing accuracy or depth. The system analyses images with incredible precision, highlighting subtle pathological changes that are often time-consuming to detect, especially during a busy clinic day.

    Mark Braddon: What was the first real benefit you noticed after bringing  Altris AI into your day-to-day routine?

    Alisdair Buchanan, Owner: One of the most immediate benefits has been in patient communication. The platform generates clear, colour-coded visuals that make explaining findings effortless. Instead of trying to talk patients through grainy greyscale images, we can now show them precisely what we’re seeing. It’s improved understanding, reduced anxiety, and increased trust in the care we’re providing.

    Mark Braddon: Was it easy to fit AI Decision Support into your OCT workflow? How easy did you find integrating Altris AI?

    Alisdair Buchanan, Owner: Integration was seamless—no faff, no friction. It fits naturally into our existing workflow, with scans uploaded and analysed within seconds. It’s helped us work more efficiently, without compromising the thoroughness our patients expect.

    In short, Altris AI has sharpened our clinical edge and strengthened the service we offer. It doesn’t replace experience—it enhances it. And that, for me, is the real value.

    Mark Braddon: In your experience, where has AI been the most helpful in clinical work?

    Alisdair Buchanan, Owner: The main area where it shines is in picking up early macular changes, particularly dry AMD. Things like drusen or subtle changes in the outer retinal layers, which could easily be missed at a glance, are brought to the surface immediately.

    It’s also been handy with diabetic patients. Just having that extra layer of input to flag microstructural changes helps us stay ahead of progression.

    We’ve also started using it with glaucoma suspects. While our Heidelberg Spectralis remains our go-to for structural monitoring, having the RNFL analysis from Altris adds a checkpoint. I’d never base a referral purely on it, but it’s nice to have a second opinion—even if it’s an AI one.

    Mark Braddon: Has AI Decision Support changed how you handle borderline or difficult-to-call cases?

    Alisdair Buchanan, Owner: I’d say it’s given us more confidence, particularly in the grey areas—those borderline cases where you’re not quite sure if it’s time to refer or just monitor a bit more closely. With AMD, for example, it has helped us catch early signs of progression and refer patients before things become urgent.

    And for glaucoma, again, it’s not replacing anything we do—it’s just another tool we can lean on. Sometimes it confirms what we already thought, and other times it nudges us to look again more carefully.

    Mark Braddon: How has using AI impacted your conversations with patients during consultations?

    Alisdair Buchanan, Owner: One of the unexpected benefits has been how much it helps with patient conversations. We show the scans on-screen during the consultation, and the colour overlays make things much easier to explain, especially with older patients. They can see what we’re talking about, which makes the whole thing feel more real and less abstract.

    They often say, “Ah, now I understand,” or “So that’s what you’re looking at.” It’s not about dazzling them with tech—it just helps make the discussion more transparent and more reassuring.

    Mark Braddon: Some professionals worry that AI might replace human judgment. How do you see its role in clinical decision-making?

    Alisdair Buchanan, Owner: I don’t see Altris —or any AI—as a threat to what we do. It’s not here to replace us. We still make the decisions, take responsibility, and guide our patients. But it does help.

    For me, it’s like having a quiet assistant in the background. It doesn’t get everything right, and I certainly wouldn’t act on it blindly—but it prompts me to pause, double-check, and sometimes spot something I might have missed otherwise. That can only be a good thing.

    In short, Altris has sharpened our clinical edge and strengthened the service we offer. It doesn’t replace experience—it enhances it. And that, for me, is the real value.

  • AI for Decision Support with OCT: “Altris Gave Me More Certainty in My Clinical Decisions”

    AI for Decision Support for OCT
    AI Ophthalmology and Optometry | Altris AI Maria Martynova
    2 minutes

    Disclaimer: In the USA, Altris Image Management System (Altris IMS) has USA FDA 510(k) Class II clearance; AI/ML models and components are intended to use for research purposes only, not for clinical diagnosis purposes.

    AI for Decision Support with OCT: An Interview with Clara Pereira, Optometrist from Franco Oculista

    About Franco Oculista Optometry in Portugal.

    Franco Oculista is the optometry center with a 70-year-old history: its roots date back to the mid-1950s in Luanda, where it was founded by Gonçalo Viana Franco. Having left behind a career in pharmacy, Gonçalo pursued his entrepreneurial vision by opening an optician’s bearing his name in the heart of the Angolan capital. Driven by a thirst for knowledge and a deep sense of dedication, he turned his dream into reality. With a commitment to professionalism and a forward-thinking approach, he integrated the most innovative technologies available at the time. This blend of passion, expertise, and innovation established Franco Oculista as a benchmark for quality and excellence in the field. In 1970s, the family returned to Portugal and opened the new FRANCO OCULISTA space on Avenida da Liberdade.

    How do Franco Oculista describe their mission?

    “Through individualized and segmented service, we seek to respond to the needs of each client. We combine our knowledge with the most sophisticated technical equipment and choose quality and reliable brands. We prioritize the evolution of our services and, for this reason, we work daily to satisfy and retain our customers with the utmost professionalism.”

    Clara Pereira is one of the optometrists at Franco Oculista and has been an optometrist for nearly two decades. Based in a private clinic in Portugal, she brings years of experience and calm confidence to her consultations. We talked with her to learn how her clinical practice has evolved, particularly since integrating OCT and, more recently, Altris AI – AI for Decision Support with OCT.

    Altris AI: Clara, can you tell us a bit about your daily work?

    Clara: “Of course. I’ve been working as an optometrist for 19 years now. My practice is quite comprehensive—I assess refractive status, binocular vision, check the anterior segment with a slit lamp, measure intraocular pressure, and always examine the fundus.

    Clara: “In Portugal, we face limitations. We’re not allowed to prescribe medication or perform cycloplegia, so imaging becomes crucial. I rely heavily on fundus photography and OCT to guide referrals and detect early pathology.”

    Altris AI: How central is OCT diagnostics to your workflow?
    Clara: “OCT is substantial. I perform an OCT exam on nearly every patient, on average, eight OCT exams per day. It’s an essential part of how I gather information. With just one scan, I can learn so much about eye health.”

    Altris AI: What kind of conditions do you encounter most frequently?
    Clara: “The most common diagnosis is epiretinal membrane—fibrosis. But I also manage patients with macular degeneration and other retinal pathologies. Having the right tools is key.”

    Altris AI: And what OCT features do you use the most?
    Clara: “I regularly use the Retina, Glaucoma, and Macula maps. But if I had to choose one, the Retina Map gives me the most complete picture. It’s become my go-to.”

    Altris AI: You’ve recently started using Altris AI. What has that experience been like?
    Clara: “At first, I didn’t know much about it. But when Optometron introduced Altris AI to me—a company I trust—I didn’t hesitate. And I’m glad I didn’t. From the beginning, it felt like a natural extension of my clinical reasoning.

    Clara: “Altris AI gives me an extra layer of certainty. It helps me extract more from the OCT images. I usually interpret the scan myself first, and then I run it through the platform. That way, I validate my thinking while also learning something new.”

    Altris AI: Have any standout cases where Altris AI made a difference?

    Clara: “Yes. I’ve had a few. One was a case of advanced macular degeneration, in which the AI visualization really helped me explain the condition to the patient. Another was using anterior segment maps for fitting scleral lenses—Altris was incredibly useful there, too. I do a lot of specialty lens fittings, so that was a big advantage.”

    Altris AI: Would you recommend Altris AI to your colleagues?

    Clara: “I would recommend Altris AI to my colleagues. For me, it’s about more than just the diagnosis. It’s about feeling confident that I’m seeing everything clearly and giving my patients the best care possible. Altris AI helps me do exactly that.”

    Why This Matters: Altris AI in Real Practice

    Clara’s story reflects the real value of AI in optometry—not as a replacement for clinical judgment, but as a powerful companion. With every OCT scan, she strengthens her expertise, improves diagnostic accuracy, and gives her patients the reassurance they deserve.

    Whether identifying early signs of fibrosis, supporting complex scleral lens fittings, or acting as a second opinion, Altris AI seamlessly fits into the modern optometrist’s workflow, making every scan more meaningful.

    AI for Decision Support with OCT: Transforming Retinal Diagnostics

    Artificial Intelligence (AI) is revolutionizing the field of ophthalmology, particularly through its integration with Optical Coherence Tomography (OCT). OCT is a non-invasive imaging technique that captures high-resolution cross-sectional images of the retina, enabling early detection and monitoring of various ocular conditions. However, interpreting these scans requires time, expertise, and consistency—factors that AI-based decision support systems are uniquely positioned to enhance.

    Altris AI (AI for OCT decision support platform) analyzes thousands of data points across B-scans, automatically detecting retinal pathologies, quantifying biomarkers, and identifying patterns that may be subtle or overlooked by the human eye. By providing objective, standardized assessments, Altris AI reduces diagnostic variability and improves clinical accuracy, especially in busy or high-volume practices.

    For optometrists and ophthalmologists, AI acts as a second opinion, flagging early signs of diseases such as age-related macular degeneration (AMD), diabetic retinopathy, and glaucoma. It streamlines workflows by highlighting areas of concern, prioritizing cases that require urgent attention, and offering visual explanations that are easy to communicate to patients.

    Moreover, Altris AI enableS longitudinal tracking of pathology progression. By comparing OCT scans over time ( even from various OCT devices), clinicians can monitor subtle changes in drusen volume, retinal thickness, supporting timely clinical decisions and tailored treatment strategies. The integration of AI into OCT interpretation not only enhances diagnostic confidence but also supports evidence-based care, early intervention, and improved patient outcomes. As AI continues to evolve, it will play a vital role in advancing precision medicine in ophthalmology, empowering eye care professionals with tools that are fast, reliable, and scalable.

    In essence, AI for OCT decision support is not replacing clinical expertise; it is augmenting it, elevating the standard of care through speed, accuracy, and actionable insights.

Recently Posted

  • Optometry referral

    Increasing Referral Efficiency in Eye Care: Addressing Data Gaps, Wait Times, and more

    AI Ophthalmology and Optometry | Altris AI Maria Martynova
    04.07 2023
    7 min read

    Ophthalmology has the highest average number of patients waiting, but up to 75% of patients make preventable trips to eye hospitals and general practitioners. Some of these patients are referred by optometrists who, more often than not, receive no feedback on the quality of their referrals, perpetuating this cycle. Optometry referral is puzzling for both primary and secondary education. This article examines the referral procedure and potential solutions for increasing referral efficiency in eye care that practitioners can implement.

    More than 25% of U.S. counties lack a single practicing eye care provider, and the situation isn’t unique to the U.S. In the UK, ophthalmology has been the most overburdened healthcare sector for some time. With a globally aging population and an increasing prevalence of age-related diseases, ensuring accessible eye care is crucial. Unfortunately, the reality is quite the opposite. One contributing factor is the high number of failures in the referral process.

    How did we arrive at this point, and what can be done to improve it?

    Altris AI’s survey identified a lack of data and increased patient wait times as the top problems with referrals for practitioners, while lack of co-management tools and poor communication/feedback ranked lower.

    What are the top problems with the referral that eye care specialists are facing

    Let’s dive into more details:

    Optometry referral: top problems 

    • Lack of diagnostic data

    The ultimate goal of optometry referral is to ensure patients receive appropriate treatment for their specific pathology or confirmation of its absence. The receiving specialist’s first step is to review the referral report, making its completeness and clarity paramount. While there is a clear need for specialised assessment and treatment, almost 80% of those attending eye casualty do not require urgent ophthalmic attention following triage, and up to 60% of patients are seen and discharged on their first visit.

    In eye care, both text information and accompanying images are crucial in ensuring efficient and accurate diagnoses. 

    However, handwritten and fragmented data continue to pose significant challenges in the patient referral process. Despite the prevalence of electronic health records (EHRs), over half of referrals are still handled through less efficient channels like fax, paper, or verbal communication. This can lead to fragmented or doubled patient data, potential gaps in care, and delays in treatment. 

    The study on the Impact of direct electronic optometric referral with ocular imaging to a hospital eye service showed that, given some limitations, electronic optometric referral with images to a Hospital Eye Service (HES) is safe, speedy, efficient, and clinically accurate, and it avoids unnecessary HES consultations. 

    optometry referral

    Direct electronic referrals with images reduced the need for hospital eye service appointments by 37% compared to traditional paper referrals. Additionally, while 63% of electronic referrals led to HES appointments, this figure was 85% for paper referrals. 

     

    While incorporating images like OCT scans can significantly enhance understanding, some subtle or early-stage pathologies might still be overlooked. This is where detailed and customized reports become invaluable.

    To illustrate the point, here is a handwritten referral compared to one of the types of customised OCT report from the Altris AI system, a platform that automates AI-powered OCT scan analysis for 70+ pathologies and biomarkers. This screenshot, in particular, shows segmented retina layers and highlights biomarkers of Dry AMD alongside a comparison of the patient’s macular thickness over visits.

     

    • Lack of experience and access to a second opinion

    Research reveals a notable inverse relationship between clinician experience and the frequency of false-positive referrals in optometry, echoing findings in other medical fields where diagnostic proficiency typically improves with experience. This highlights the importance of recognizing the learning curve inherent in optometric practice and supporting less experienced practitioners. 

    The challenge is amplified by the fact that optometrists often practice in isolation, lacking the immediate professional support network available to their hospital-based counterparts. Unlike colleagues in hospital settings who have ready access to peer consultation for other opinions or guidance, optometrists often face limited opportunities for collaborative decision-making and skill development. 

    Another problem specialists often face is a lack of confidence in diagnosing, which may or may not be linked to experience. Knowing that their patients could potentially suffer irreversible vision loss from a pathology not yet detected during an exam, they often err on the side of caution and refer to a hospital. While this “better safe than sorry” approach is understandable, it places a significant burden on hospitals, extending wait times for those already at risk of blindness.

    These concerns primarily revolve around glaucoma, age-related macular degeneration (AMD), and diabetic retinopathy (DR). AI can help identify these and other eye diseases at their earliest stages during routine visits. Some retinal changes are so minute that they escape detection by the human eye, making the program’s ability to detect tiny retinal changes invaluable.

    Another significant benefit of AI systems lies in their approach to OCT analysis for glaucoma. Traditional methods rely on normative databases to assess retinal normality, but these databases are often limited in size and represent a select group of individuals. This can result in missed diagnoses of early glaucoma in those who deviate from the “norm” or unnecessary referral from optometry to ophthalmology for those who don’t fit the “normal” profile but have healthy eyes. AI can overcome this limitation by providing more personalized and comprehensive analysis.

    • Increased wait times for patients with eye doctor referral

    The National Health Service (NHS) is grappling with significant backlogs in ophthalmology services, which account for nearly 10% of the 7.8 million patients awaiting treatment. 

    The consistently high average number of patients waiting per trust in Ophthalmology, with high follow-up waitlists, delays care that poses substantial risks. The Royal College of Ophthalmologists reported that the risk of permanent visual loss is nine times higher in follow-up patients than in new patients. With 30% more patients on ophthalmology waitlists than pre-pandemic, the number of people at risk of sight loss may have increased.

    Community Eyecare (CHEC), a provider of community-based ophthalmology services, received around 1000 referrals per week before the pandemic, further highlighting the strain on the system.

    An analysis of electronic waitlists revealed that administrative issues, such as deceased patients or those already under care remaining on the list, artificially inflate wait times by up to 15%. 

    Improving administrative processes and reassessing referrals for appropriateness could help address this problem. Additionally, interim optometric examinations could revise referral information or determine the necessity of hospital visits, further reducing wait times.

    Artificial intelligence can significantly speed up the screening process while reducing the controversy around diagnoses. This faster and more accurate diagnostic tool will enable more patients to be seen, allow for quicker responses to pathologies that pose a risk to eyesight, and reduce the burden on strained hospitals with needless patient referrals, as well as free up patients from unnecessary stress and wasted time.

    International studies have shown that collaborative care also can increase screening and detection rates of eye disease.

    • Lack of comanagement tools for optometry referral

    The increasing demand for Hospital Eye Services, projected to grow by 40% in the next two decades and currently accounting for 8% of outpatient appointments, necessitates a re-evaluation of referral pathways and comanagement strategies between optometrists and ophthalmologists.  

    The lack of digital connectivity between primary, community, and secondary care creates a significant barrier to effective collaboration. In many cases, optometrists cannot make direct digital referrals to Hospital Eye Service, often relying on general practitioners as intermediaries, causing delays in diagnosis and treatment.

    The COVID-19 pandemic highlighted the vital role of optometrists as first-contact providers for eye health, relieving pressure on hospitals. However, better integration between primary and secondary care is essential to build upon this and create a more sustainable eye care system. The current lack of digital connectivity hinders efficient communication and impedes the timely transfer of patient records, potentially leading to unnecessary referrals and delays in care.

    optometry referralAs David Parkins, the ex-president of the College of Optometrists, emphasizes, the solution lies in increased integration and streamlined communication between primary and secondary eye care services. Implementing integrated digital platforms for referrals and feedback can enhance collaboration, improve patient outcomes, and reduce the burden on hospitals.

    Leveraging optometrists’ expertise through shared care programs and direct digital referral pathways can alleviate the strain on eye hospitals and ensure timely access to care for patients with eye conditions.

    • Referral to Ophthalmology: Poor communication/lack of feedback

    A recent study published in Ophthalmic and Physiological Optics revealed that in 73% of cases, the referring optometrist was unaware of the outcome of their referral. 

    This lack of closure can lead to unnecessary re-referrals, patient anxiety, and potential treatment delays that could result in preventable vision loss, especially considering the extended waiting times for hospital eye service appointments.

    Effective referral in eye care requires a closed feedback loop, where referring providers receive timely updates and reports from specialists. However, studies have shown that up to 50% of primary care providers (PCPs) are unsure whether their patients have even been seen by the referred specialists. This disconnect necessitates time-consuming follow-up calls and manual data integration, increasing the risk of errors and jeopardizing patient care.

    The absence of consistent feedback also impacts optometrists’ professional development. Without knowing the accuracy of their referrals, optometrists cannot identify areas for improvement or refine their diagnostic skills. This is particularly relevant for newly qualified practitioners who may benefit from feedback to enhance their clinical judgment.

    Implementing electronic referral systems that include feedback mechanisms can significantly improve communication and close the feedback loop. This would enable optometrists to track the progress of their referrals, receive timely updates on patient outcomes, and make informed decisions about future referrals. 

    Technology is also bridging the gap in specialist communication by enabling secure online consultations, such as live chat with dedicated ophthalmologists. A notable example in the UK is Pocket Eye, a platform designed to empower eye care professionals with clinical advice, diagnostic and image support, and AI-powered OCT analysis. 

    Summing up

    Implementing digital platforms that foster collaboration between eye care providers, increasing confidence in complex cases, and utilizing AI technologies to expedite diagnostics is crucial in a world where an aging population will increasingly rely on healthcare. Referral to ophthalmology from optometry should be effective, fast, and painless to eye care specialists and patients. 

     

    Disclaimer: USA FDA 510(k) Class II; Altris Image Management System (Altris IMS); AI/ML models and components intended to use for research purposes, not for clinical diagnosis purposes.

  • Сustomisable OCT reports for eye care practice enhancement

    OCT Reports: Enhancing Diagnostic Accuracy

    AI Ophthalmology and Optometry | Altris AI Maria Martynova
    07.06. 2023
    8 min read

    The average OCT device is a significant investment, costing upwards of $40,000. As eye care specialists, we recognize the revolutionary power of OCT. However, patients often receive only a standard OCT report from this investment. Unfortunately, many patients are unaware of OCT’s true value and may not even know what it is. This raises a crucial question: are these standard reports truly reflecting the full diagnostic potential of such an expensive and sophisticated device? Are we, as professionals, maximizing the capabilities of this technology to ensure optimal patient care?

    This article explores how OCT Reports address these shortcomings, enhancing diagnostic accuracy, treatment monitoring, referral efficiency, patient education, and audit readiness. 

    Common OCT reports and their limitations

    Disclaimer: USA FDA 510(k) Class II; Altris Image Management System (Altris IMS); AI/ML models and components intended to use for research purposes, not for clinical diagnosis purposes.

    How does the standard report look?

    An example of a common OCT report

    OCT has become a golden standard for diagnosing and monitoring many ocular pathologies, thanks to its unparalleled level of detail in ophthalmic imaging.

    While retinal reports vary among OCT models, they typically include:

    • a foveally centered B-scan, 
    • a quantitative thickness map, 
    • and a semi-quantitative thickness map.

    The B-scan offers a visual snapshot of foveal architecture and confirms proper scan centering. The quantitative thickness map employs the ETDRS sector map to measure retinal thickness within a 6mm circle around the fovea, with specific measurements for the foveal sector (1mm), inner macular ring (3mm), and outer macular ring (6mm).

    Progression analytics enable comparison of serial macular scans, which is invaluable for managing vitreomacular interface disorders and macular edema. The semi-quantitative thickness map provides a broader overview of retinal thickness throughout the scan.

    Given this amount of data, it is challenging to identify subtle and localized retinal pathological changes. As a result, entire OCT datasets are represented by few aggregated values, and the standard OCT reports generated by most devices often rely on significant data reduction to simplify interpretation, which you can usually not customize. 

    OCT report interpretation: 3 methods exist for displaying OCT data

    Firstly, acquired 2D image slices are presented individually. This allows for detailed examination, but navigating through numerous images can be cumbersome, particularly with large datasets.

    Wet AMD on OCT, example provided by Altris AI platform

    Secondly, a fundus image is displayed with superimposed retinal layers. This facilitates linking layers to the fundus, but only one layer can be examined at a time, hindering the analysis of multiple layers simultaneously.

     

    OCT scan and fundus image on an example of OCR report

    Thirdly, the OCT tomogram is visualized in 3D, providing a comprehensive overview, but adjusting the visual representation often has limitations. Additionally, combined 3D visualizations of the tomogram and layers are typically unavailable, potentially obscuring spatial relationships.

     

    3d visualization of OCT scan results in OCT report

    While existing reports offer diverse approaches to managing, analyzing, and presenting OCT data, each solution focuses on specific aspects and lacks customization. The situation becomes even more complex if scans come from different OCT devices, as manufacturers only provide software for the data for proprietary OCT scanners. Consequently, no approved way of viewing, analyzing, or comparing data from different manufacturers exists.

    Furthermore, there are limited possibilities for implementing prototypes to perform such tasks since software libraries are provided with exclusive licenses and incomplete data specifications. Hence, managing and analyzing OCT data and relating them to other information are challenging and time-consuming tasks.

    Often, supplementary software is utilized to overcome these limitations by providing additional information, visualizing and emphasizing data differently, and enabling the selection of relevant subsets.

    How can customized reports for OCT help?

    Results of Altris AI survey for eye care specialists on What's the main purpose of OCT reports

    Altris AI’s recent survey has revealed that the key benefits of OCT technology for eye care specialists lie in treatment monitoring, patient education, and referral optimization.

    Dr.-Aswathi-Muraleedharan on OCT reports

    • Measuring treatment progress: biomarkers tracking, pathology progression

    Imaging biomarkers are a particularly attractive option for clinical practice due to their non-invasive and real-time nature. Quantitative measurements of retinal thickness, fluid volume, and other biomarkers relevant to diseases like diabetic retinopathy and age-related macular degeneration aid in treatment monitoring.

    Pathology Progression, part of Altris AI customisable OCT reports

    OCT reports with customized measurements and selected biomarkers, retinal layers, or segments allow for precise focus on treatment monitoring and patient response to therapy. This personalized approach enhances clinical decision-making by highlighting each case’s most relevant information. 

    Thickness comparison, part of ALtris AI customisable OCT reports

    In current clinical practice, macular damage assessment typically involves measuring the distance between the ILM and RPE layers, summarized in a post-scan report. 

     ILM and RPE layers on OCT report

    However, these reports often fall short of visualization best practices, employing ineffective or inconsistent color schemes. Additionally, they lack flexibility, with static visuals preventing in-depth examination of specific details. Despite these limitations, these reports remain valuable for many clinicians by distilling complex data into a manageable format. 

    Enhanced OCT data visualization offers a promising solution to these challenges. It enhances report clarity and comprehensibility while preserving the richness of the underlying data. 

    Let’s explore how this applies to a clinical case, such as monitoring a patient with Wet AMD during follow-up visits.

    Wet AMD on OCT scan, example provided by ALtris AI platform

    Data demonstrates that OCT findings can reveal the onset or progression of neovascular AMD before a patient reports new symptoms or changes in visual acuity. In fact, OCT images are reported to have the best diagnostic accuracy in monitoring nAMD disease states. This underscores the importance of key OCT findings or biomarkers in personalizing anti-VEGF treatment, achieving disease control, and reducing monitoring burdens.

    Jennifer O'Neill on OCT reports

    Central Retinal Thickness emerged as one of the earliest OCT biomarkers used as an outcome measure in clinical trials for nAMD.

    However, due to confounding factors, CRT’s use in outcome-based assessments of nAMD varies. Thus, it is essential to evaluate additional morphological changes alongside retinal thickness and their relationships with functional outcomes.

    It has been reported that OCT images have the best diagnostic accuracy in monitoring nAMD disease states.

    Another finding that is correlated with a worsening VA due to the associated photoreceptor defects is any damage to the four outer retina layers, including the RPE, interdigitation zone (IZ), ellipsoid zone (EZ), and external limiting membrane band (ELM). 

    Biomarkers measuring on Altris AI customisable OCT reports

    OCT is a valuable imaging tool for visualizing subretinal hyperreflective material (SHRM). It can automatically identify and quantify SHRM and fluid and pigment epithelial detachment to calculate the overall risk of worsening visual outcomes associated with SHRM.

    subretinal hyperreflective material calculated by AI with ALtris AI

    Subsequent follow-up visits will then display the most relevant picture, highlighting the most pertinent biomarkers for tracking a particular pathology (wet AMD in our example) and comparing their volume, progression, or regression through visits.

    Monitoring RPE disruption progression on OCT with Altris AI

    Another helpful option is retinal layer segmentation, which focuses solely on the retinal layers of interest for the specific case. 

    This level of customization empowers clinicians with a comprehensive yet targeted view of the patient’s condition. It saves time from manually detecting anomalies on scans and facilitates informed decision-making and personalized treatment plans.

    • Glaucoma risk evaluation

    Millions risk irreversible vision loss due to undiagnosed glaucoma, underscoring the need for improved early detection. Current tests often rely on observing changes over time, delaying treatment assessment and hindering early identification of rapid disease progression. OCT frequently detects microscopic damage to ganglion cells and thinning across these layers before changes are noticeable through other tests. However, the earliest signs on the scan can still be invisible to the human eye.

    AI algorithms offer insights into glaucoma detection by routinely analyzing the ganglion cell complex, measuring its thickness, and identifying any thinning or asymmetry to determine a patient’s glaucoma risk without additional clinician effort.

    Altris AI's Early glaucoma risk assessment module

    Another significant benefit of AI systems is that OCT for glaucoma usually utilizes a normative database to assess retinal normality. However, these databases are limited in size and represent an average of a select group of people, potentially missing early glaucoma development in those who deviate from the “norm.” Conversely, individuals may be unnecessarily referred for treatment due to not fitting the “normal” profile, even if their eyes are healthy.

    • Crafting effective referral

    In the UK, optometrists are crucial in initiating referrals to hospital eye services (HES), with 72% originating from primary care optometric examinations. While optometrists generally demonstrate proficiency in identifying conditions like cataracts and glaucoma, discrepancies in referral thresholds and unfamiliarity with less common pathologies can lead to unnecessary or delayed referrals.

    Arun-Balasegaram on OCT reports

    At the same time, an evaluation of incoming letters from optometrists in a glaucoma service found that 43% of the letters were considered “failures” because they did not convey the necessity and urgency of the referral.

     So, having an elaborate record of the entire clinical examination in addition to a referral letter is crucial.

    infographic on how customised OCT reports can enhance referrals

    Customized OCT reports solve this challenge by streamlining the referral process and improving communication between optometrists and ophthalmologists. These reports can significantly reduce delays and ensure patients receive timely care by providing comprehensive and relevant information upfront.

    • Patient Education

     

    Elderly patient is investigating his OCT report with color coded by Altris AI biomarkers

    Patient education and involvement in decision-making are vital for every medical field and crucial for ophthalmology, where insufficient patient engagement can lead to irreversible blindness.

    Omer-Salim on OCT reports

    Research specifically targeting the ophthalmology patient population, which often includes older and potentially visually impaired individuals, reveals a clear preference for materials their eye care provider endorsed.

    Infographic on patient education: 94% of patients want patient education content

    Providing explicit visual representations of diagnoses can significantly improve patient understanding and compliance. Seeing photos of their condition, like glaucoma progression, builds trust and reinforces the importance of treatment recommendations.

    Surveying eye care professionals specializing in dry eye disease revealed a strong emphasis on visual aids during patient education. 

    Photodocumentation is a favored tool for demonstrating the condition to asymptomatic patients, tracking progress, and highlighting treatment’s positive outcomes.

    The visual approach provides tangible evidence of the benefits of their treatment investment, allowing for a deeper understanding of the “why” behind treatment recommendations and paving the way for ongoing collaboration with the patient.

    Kaustubh-Parker on COT reports

    Color-coded OCT reports for pathologies and their signs, severity grading, and pathology progression over time within its OCT analysis highlight the littlest bits that a patient’s unprepared eye would miss otherwise. With follow-up visits, patients can see what’s happening within their eyes and track the progress of any conditions during treatment.

    Biomarkers detected by Altris AI on OCT

    • Updating EMR and Audit readiness

    OCT reports are crucial components of a patient’s medical history and are essential for accurate diagnosis, personalized treatment, and ongoing monitoring. The streamlined process of integrating OCT data into EMR ensures that every eye scan, with its corresponding measurements, biomarkers, and visualizations, becomes an easily accessible part of the patient’s medical history.

    This is crucial for continuity of care and simplifies the audit process, providing a clear and comprehensive record of the patient’s eye health over time. Just optometry chains alone can perform an imposing volume of OCT scans, with some reaching upwards of 40,000 per week. While this demonstrates the widespread adoption of this valuable diagnostic tool, it also presents a challenge: the increased risk of missing subtle or early-stage pathologies amidst the sheer volume of data.

    Enhanced OCT reports offer a solution by providing a crucial “second look” at scan results. While not foolproof, this double-check significantly reduces the risk of overlooking abnormalities, ultimately improving patient outcomes and safeguarding the clinic’s reputation.

    In audits, comprehensive OCT reports are critical in ensuring regulatory compliance. As the Fundamentals of Ophthalmic Coding states, “It is the responsibility of each physician to document the interpretations as promptly as possible and then communicate the findings with the patient… to develop a fail-safe way to ensure that your interpretations are completed promptly.”

    Auditors typically look for several key elements in OCT reports:

    • Physician’s Order: Document the test order, indicating which eye(s) and the medical necessity.
    • Interpretation and Report: The physician analyzes the scan results, including any identified abnormalities or concerns.
    • Timely Completion: Prompt documentation and communication of findings to the patient.

    Customisable OCT reports can streamline this process by generating comprehensive reports that meet these requirements. These reports include detailed measurements, biomarker analysis, and clear visualizations, making it easier for physicians to review, interpret, and document their findings efficiently.

    Summing up

    Standard OCT reports, while valuable, often need more customization due to data reduction and lack of customization. The inability to visualize multiple scans simultaneously or compare data from different devices hinders comprehensive analysis. Enhanced OCT reports address these limitations by offering detailed visualizations, customizable measurements, and biomarker tracking.

    Customisable OCT reports aid in the early detection and monitoring of diseases like wet AMD and glaucoma, empowering clinicians with accurate diagnoses and personalized treatment plans. Additionally, they streamline referrals by providing focused information and clear visualizations, reducing delays and improving communication between optometrists and ophthalmologists.

    These comprehensive reports also enhance patient education by offering clear visual representations of their conditions and treatment progress, fostering better understanding and compliance. Moreover, with detailed documentation and analysis, detailed reports ensure audit readiness for eye care professionals, mitigating the risk of missed pathologies and upholding regulatory compliance.

  • AI for Ophthalmic Drug Development

    AI for Ophthalmic Drug Development: Enhancing Biomarkers Detection

    AI Ophthalmology and Optometry | Altris AI Maria Martynova
    20.05.2023
    8 min read

    Disclaimer: USA FDA 510(k) Class II; Altris Image Management System (Altris IMS); AI/ML models and components intended to use for research purposes, not for clinical diagnosis purposes.

    Despite increased research and development spending, fewer novel drugs and biologics are reaching the market today.

    Large pharmaceutical companies invest an average of over $5 billion and 12+ years in research and development for each new drug approval.

    The high failure rate of drug candidates (only 15% of Phase I drugs reach approval) further exacerbates the issue. This risk often leads pharmaceutical companies to favor lower-risk investments like biosimilars or generic drugs over novel therapies. 

    Due to the eye’s specialized anatomy and physiology, ophthalmic drug development faces unique challenges. Ocular barriers like the tear film and blood-ocular barrier can hinder drug efficacy. Many therapeutic endpoints in ophthalmology are subjective, making controlled trials difficult. The imprecise nature of some measurements further complicates trial design. Rare ophthalmic diseases pose additional challenges, as clinical trials may group diverse conditions, like multiple types of uveitic, together despite their distinct underlying mechanisms and therapeutic needs.

    Here is where AI enters the game. With its ability to rapidly analyze vast amounts of data and detect subtle patterns, AI is revolutionizing how we approach clinical trials for ophthalmic drugs.

    In this article, we will explore how AI for ophthalmic drug development transforms the landscape by accelerating the identification of biomarkers for conditions like diabetic retinopathy and age-related macular degeneration, ensuring the right patients are enrolled in trials, and providing quantitative metrics for evaluating treatment efficacy.

    How AI for ophthalmic drug development can accelerate the search for biomarkers in clinical trials

    • Biomarkers for quantitative analysis before and after treatment

    A biomarker, as defined by the BEST Resource FDA-NIH Biomarker Working Group, is a characteristic that can be objectively measured and evaluated as an indicator of normal biological processes, disease processes, or responses to therapeutic intervention. Key characteristics of a useful biomarker include specificity, sensitivity, simplicity, reliability, reproducibility, multiplexing capability, and cost-effectiveness.

    Determining a biomarker’s performance involves assessing its:

    • analytical validity – how accurately it measures what it claims to measure;
    • clinical validity – how well it reflects a clinical feature or outcome;
    • clinical utility – how it improves patient outcomes or guides treatment decisions. 

    In the context of drug regulation, qualified biomarkers can serve as endpoints in clinical trials, potentially offering a more objective and less placebo-susceptible alternative to traditional patient-reported outcomes. 

    Imaging biomarkers are a particularly attractive option for clinical use due to their non-invasive, real-time, and cost-effective nature.

    In ophthalmology, AI-powered analysis of OCT scans can provide precise, quantitative measurements of retinal thickness, fluid volume, and other biomarkers relevant to diseases like diabetic retinopathy and age-related macular degeneration. These measurements can aid in diagnosis, disease staging, treatment monitoring, and prediction of treatment response.

    Systems like Altris for pathology detection and segmentation enabled automated disease characterization and longitudinal monitoring of therapeutic response in AMD. Multiple studies have demonstrated the value of volumetric fluid characterization, compartment-specific OCT feature evaluation, and subretinal fibrosis and hyperreflective material quantification.

     

    A study  has shown the potential of AI to predict conversion from early or intermediate non-neovascular AMD to the neovascular form, using quantitative imaging features like drusen shape and volume. 

    The extraction of quantitative fluid features and assessment of retinal multi-layer segmentation from OCT scans have offered valuable insights into disease prognosis and longitudinal dynamics of Diabetic Retinopathy.

     

    A recent study demonstrated that quantitative improvement in ellipsoid zone integrity following anti-VEGF therapy for DME significantly correlated with visual function recovery. Furthermore, novel imaging biomarkers, such as the retinal fluid index (RFI), are emerging as tools for precisely monitoring treatment response. Studies have shown that early RFI volatility can predict long-term instability in visual outcomes after treatment.

    Building on these advancements, researchers are now exploring the relationship between imaging biomarkers and underlying disease pathways. A recent study linked levels of various cytokines, including VEGF, MCP-1, and IL-6, with specific OCT-derived biomarkers like fluid parameters and outer retinal integrity.

    By automating the analysis of OCT scans, AI not only streamlines the process but also uncovers subtle details and patterns that might be missed by human observation. 

    Enhanced by AI precision enables more accurate identification and quantification of biomarkers, leading to better patient stratification, treatment monitoring, and prediction of therapeutic responses.

    •  Data Annotation for Clinical Trials

    An ophthalmologist’s report noting the presence of edema on an OCT scan is not the same as stating that its height and length are 411 and 3213 µm, accordingly.

    Imaging biomarkers can range from simple measurements of size or shape to complex computational models, providing valuable information to complement traditional diagnostic methods. They can also determine the presence and severity of a disorder, assess its progression, and evaluate treatment response.

    While biomarkers can be derived from various imaging modalities, OCT stands out in ophthalmology due to its high resolution and ability to visualize subtle retinal changes.

    How AI for OCT Revolutionizing clinical research and drug development trials

    Parametric images, which visually represent the spatial distribution of biomarker values, further enhance the analysis of OCT scans. This combination of quantitative data and visual representation empowers clinicians and researchers to make more informed decisions about diagnosis, treatment, and disease management.

    Traditionally, medical image interpretation has relied heavily on visual assessment by experts, who recognize patterns and deviations from normal anatomy based on their accumulated knowledge. 

    While semi-quantitative scoring systems offer some level of objectivity, the field is rapidly evolving towards more quantitative and automated approaches. This shift is driven by advancements in standardization, sophisticated image analysis techniques, and the rise of machine and deep learning.

    In some clinical scenarios, automated image quantification can surpass manual assessment in objectivity and accuracy, interpreting subsequent changes with greater precision and clinical relevance by establishing thresholds for disease states. Unlike physical biomaterials, medical images are easily and rapidly shared for analysis, facilitating automated, reproducible, and blinded biomarker extraction.

    This transition to quantitative analysis is particularly evident in the study of AMD. For instance, non-neovascular (dry) AMD has been extensively evaluated using various imaging biomarkers, such as intraretinal hyper-reflective foci, complex drusenoid lesions, subretinal drusenoid deposits, and drusen burden. 

    While SD-OCT has traditionally described these features qualitatively, recent studies have demonstrated the predictive power of quantitative measures like ellipsoid zone integrity, sub-RPE compartment thickness, and automated drusen volume quantification.

    These quantitative biomarkers have shown stronger associations with disease progression than qualitative features, particularly in predicting the development of geographic atrophy. 

    This predictive power of AI extends to diabetic retinopathy as well. In DR, quantitative measures like central subfield retinal thickness and retinal nerve fiber layer thickness have been linked to disease severity. Disruption of retinal inner layers has been associated with worse visual acuity, and its presence is highly specific for macular nonperfusion. Both DRIL and outer retinal disruption are linked to visual acuity in DR and diabetic macular edema.

    Furthermore, morphological signs like hyperreflective foci, representing lipid extravasation and inflammatory cell aggregates, have emerged as potential biomarkers for monitoring inflammatory activity in diabetic eye disease. AI-powered segmentation and quantification of HRF can track changes in response to anti-VEGF and steroid injections.

    • Enrollment of the right patients

    Due to their complexity and scale, clinical trials, particularly Phase III trials, consume a significant portion of the budget required to bring a new drug to the market. However, the success rate for compounds entering clinical trials is dismal, with only about one in ten progressing to FDA approval. This high failure rate stems largely from ineffective patient recruitment, as each clinical trial has unique participant requirements, including eligibility criteria, disease stage, and specific sub-phenotypes. 

    Manual review of electronic medical records is time-consuming and prone to error, as staff must sift through vast amounts of data to identify eligible candidates.

    Infographic source

    AI can automate this process, rapidly analyzing medical imaging and extracting relevant information to determine patient eligibility. This reduces the burden on staff and allows for faster identification and enrollment of suitable participants, streamlining patient selection and ultimately leading to more efficient and successful clinical trials. 

    A targeted approach can dramatically improve recruitment efficiency by pinpointing ideal candidates and even revealing disease hotspots for geographically focused efforts.

    In later phases of clinical trials (Phase II and III), AI-powered image analysis can also play a pivotal role. In ophthalmology, AI can analyze OCT scans to precisely quantify disease biomarkers, ensuring that the trial participants are those most likely to benefit from the investigated drug. This improves the success rate of trials and minimizes potential harm to patients who might not be suitable candidates.

    AI-powered image analysis offers a crucial advantage: reducing variability in interpretation. 

    AI algorithms can standardize the imaging overview process by consistently identifying and quantifying key biomarkers, ensuring that different readers arrive at similar conclusions.

    • Real World Evidence

    Randomized controlled trials have long been the gold standard for evaluating the efficacy and safety of new therapies. However, controlled environments with strict inclusion and exclusion criteria may not fully reflect the diversity and complexity of real-world patient populations. 

    Real-world data (RWD) that is collected during routine clinical practice can provide critical insights into disease biomarkers and significantly impact the drug development process. This RWD can be transformed into real-world evidence (RWE) when appropriately analyzed.

    RWE is bridging the gap between clinical trials and real-world patient care, providing a more representative view of disease progression, treatment patterns, and long-term outcomes in everyday clinical settings.

     

    In ophthalmology, RWE already has played a crucial role in understanding the impact of anti-VEGF therapies for neovascular age-related macular degeneration. While RCTs demonstrated the initial efficacy of these treatments, RWE studies have shown variations in real-world outcomes and highlighted the need for continued and higher than previously provided treatment frequency and new treatment regimens such as treat-and-extend.

    Big data, encompassing a vast array of structured and unstructured information, is now an integral part of modern medicine, including ophthalmology.  By integrating RWE with traditional clinical trial data, researchers can better understand how a drug performs in the real world and conduct more pragmatic clinical trials designed to evaluate treatments in real-world settings with broader patient populations, ultimately accelerating the development of safer and more effective therapies.

    The future of ophthalmic drug trials

    The global AI-in-drug discovery market is poised for significant growth, driven by advancements in machine learning, natural language processing, and deep learning.

    Artificial intelligence has the potential to significantly impact drug discovery by enabling more creative and efficient experimentation. It can also reduce the cost and time associated with failures throughout the drug development process. By identifying promising leads earlier and eliminating less viable options, AI can streamline each stage, potentially halving the total cost of a single project. 

    Advanced simulation and modeling techniques powered by AI are also poised to revolutionize our understanding of disease mechanisms and accelerate the discovery of new drugs.

    The promising potential of AI in clinical trials extends to the proactive identification and mitigation of adverse events, enhancing patient safety and reducing trial risks. Data-driven AI tools are poised to revolutionize the entire clinical trial process, from design to execution. By streamlining patient recruitment, continuously monitoring participants, and facilitating comprehensive data analysis, AI can increase trial success rates, improve adherence, and yield more reliable endpoints.

    The future of ophthalmic drug trials is here, and it’s powered by AI. By embracing this technology, researchers and clinicians can unlock new possibilities for preventing blindness and preserving vision for future generations.

  • optometry patient education

    Educating Patients about Eye Health

    AI Ophthalmology and Optometry | Altris AI Maria Znamenska
    26.04.2023
    9 min read

    Educating Patients about Eye Health with AI

    Today patients are curious about AI, but they may also have some reservations. Researches suggest a cautious attitude towards autonomous AI in healthcare, but what happens when AI becomes a collaborative tool, assisting eye care professionals in educating and treating patients? This shift in focus can significantly affect patients’ comfort levels and acceptance of AI.

    Patients have some concerns about AI in healthcare. Let’s delve into the patient perspective and discover how addressing these apprehensions and implementing AI-assisted OCT in eye care can lead to a better understanding of the technology and, ultimately, healthier outcomes.

    Educating Patients about Eye Health

    Interestingly, while surveys extensively document how eye care professionals feel about and interact with AI, the perspectives of the main beneficiary—the patient—remain less understood. The limited research available indicates mixed feelings towards this technology. Few studies examine patient attitudes toward AI in healthcare and eye care, suggesting a degree of caution. 

    Infographic on patient education: 94% of patients want patient education content

    However, these studies have focused on scenarios where AI fully replaces human healthcare providers. Patients demonstrated significant resistance to medical AI in these cases driven mostly by “uniqueness neglect” – concern that AI providers are less able than humans to account for a person’s unique characteristics and circumstances.

    For example,  in the “Resistance to Medical Artificial Intelligence” study, participants demonstrated less interest in using a stress assessment and were willing to pay less for it when administered by an automated system rather than a human, even with equivalent accuracy. Additionally, participants showed a weaker preference for a provider offering clearly superior performance if it was an AI system. 

    A survey of 926 patients reveals a mix of attitudes towards AI in healthcare but also gives us clues to understand the reasons behind it. While a majority believe AI could improve care, there’s also a significant undercurrent of caution:

    • Desire for Transparency: Over 95% of respondents felt it was either very or somewhat important to know if AI played a significant role in their diagnosis or treatment.
    • Unexplainable AI = Uncomfortable: Over 70% expressed discomfort with receiving an accurate diagnosis from an AI system that couldn’t explain its reasoning. This discomfort was more pronounced among those unsure about AI’s overall impact on healthcare.
    • Application Matters: Patients were more comfortable with AI for analyzing chest X-rays than for making cancer diagnoses.
    • Minority Concerns: Respondents from racial and ethnic minority groups expressed higher levels of concern about potential AI downsides, such as misdiagnosis, privacy breaches, reduced clinician interaction, and increased costs.

    These findings highlight the importance of being transparent with patients about how AI is used in their care. Explaining the role of AI and reassuring patients that it’s a tool for assisting your clinical judgment (not replacing it) will be essential. Additionally, being mindful of potential heightened concerns among minority patients is crucial for providing equitable care.

    A study solely focused on overcoming patients’ resistance to AI in healthcare found that demonstrating social proof (like highlighting satisfied customer reviews) increased trust in AI-involved help.

    The team has identified several additional strategies for reducing patient apprehension of AI recommendations. One effective approach is to emphasize AI’s collaborative nature, where a human doctor endorses recommendations. This highlights AI as a tool to assist, not replace, physicians. Demonstrating AI capabilities through real-world examples where AI exhibits nuanced reasoning can also encourage greater reliance on the technology.  

    How to inform patients with AI in eye care

    AI offers a powerful way to transform your practice and set yourself apart. It brings world-class diagnostic expertise directly to your community, potentially saving patients’ sight by catching eye diseases in their earliest stages. Here’s how to position AI for patients:

    • Emphasize Early Detection

    It brings world-class diagnostic expertise directly to your community, potentially saving patients’ sight by catching eye diseases in their earliest stages, including early signs of glaucoma, AMD, and many other pathologies that would often be invisible during a regular visit. Some retinal changes are so microscopic that they elude the human eye, making the program’s ability to detect tiny retinal changes invaluable. This makes AI a powerful tool during routine exams, potentially uncovering issues you may not even have been aware of as a patient.

    • More time for personalized care with optometry patient education

    Patients expect personalized experiences, and AI empowers you to deliver exactly that. By analyzing each patient’s unique OCT image data, AI helps identify potential pathologies with greater accuracy. 

    optometry patient education

    Additionally, since AI acts as a meticulous assistant, double-checking your assessments and minimizing the risk of missed diagnoses, it frees up your time. This allows for more meaningful one-on-one conversations with patients, where you can explain their results and discuss the next steps, setting your practice apart regarding patient satisfaction.

    • Your old good eye care professional, but with superpower

    With AI-assisted OCT, you have the combined knowledge and experience of leading eye care specialists at your fingertips for every patient. This technology leverages massive datasets of medical images and clinical data meticulously analyzed by retinal experts during AI development.  It is a valuable second opinion tool, helping you confirm diagnoses and identify subtle patterns the human eye might miss.

    AI-assisted OCT in eye care: кetina specialists of Altris AI segmenting pathologies to teach AI detect them

    This offers your patients peace of mind – knowing their diagnosis has been informed by insights from a team of experts incorporated into the AI’s analysis.

    It’s crucial to emphasize that AI will never replace the human touch. It’s a powerful tool that frees up your time for what matters most: building trust through personalized care and addressing patient concerns with empathy.

    How to explain what AI is to patients 

    AI color coding in eye care, segmented by pixels pathologies on OCT

    Patient understanding is vital for building trust with you and any technology you use. It is especially important when talking about a sophisticated instrument like AI. In case of AI, which remains a mystery to many,  patient education in optometry is a must.

    For instance, we’ve found that patients sometimes struggle to understand how Altris AI, our AI-powered OCT analysis tool, works. We’ve crafted an explanation that helps them grasp the concept more quickly, covering how retinal specialists have taught the system to do its job, the AI’s role as a doctor’s help, and direct benefits for patients.

    OCT scans provide incredibly detailed images of the retina, the important layer at the back of your eye.  Eye doctors carefully analyze these scans to spot any potential problems.  To make this process even more thorough, AI systems are now being used to assist with OCT analysis.

    optometry patient education

    How does the system know how to do that? Real doctors have taught it. It works by first learning from thousands of OCT scans graphically labeled by experienced eye doctors. 

    The doctors analyzed images from real patients to detect and accurately measure over 70 pathologies and signs of pathology, including age-related macular degeneration and glaucoma, teaching the AI what to look for.

    The system leverages a massive dataset of thousands of OCT scans collected from 11 ophthalmic clinics over the years. Carefully segmented and labeled by retinal professionals, these scans were used to train the AI. By analyzing each pixel of an image and its position relative to others, the AI has learned to distinguish between different biomarkers and pathologies.

    The platform visualizes what is going on with the retina using color coding. This means that every problem on the OCT scan will be colored differently and signed so you will be able to understand what is going on with your retina.

    Biomarkers detected by Altris AI on OCT

    As with any innovative tool, Altris AI partially automates some routine tasks, so clinicians have more time for what is important: talking to patients, learning more about their eye health, and providing treatment advice.

    Why does this matter to you? Altris AI can help spot even the tiniest changes in your eyes, leading to earlier treatment and better protection of your eye health. Knowing a smart computer system is also double-checking your scans gives both you and your doctor extra confidence in the results.

    With the help of Altris AI, you will be able to see how the treatment affects you.  For example, if you have fluid in the retina (that is not supposed to be there), you will be able to see if its volume is decreasing or increasing with the help of color coding. 

    Detected by AI for OCT, Altris AI, biomarkers of Fibrovascular RPE Detachment on OCT scan: RPE disruption, Fibrovascular RPE Detachment , Subretinal fluid, Ellipsoid zone disruption

    Altris AI was designed by eye doctors for eye doctors. It’s a tool to help us take even better care of patients.

    AI color coding in eye care: how learning about diagnosis influences treatment adherence

    Patient-centered care, a key principle outlined by the Institute of Medicine, emphasizes optometry patient education and involvement in decision-making. This is vital in ophthalmology, where insufficient patient engagement can lead to irreversible blindness.

    Research specifically targeting the ophthalmology patient population, which often includes older and potentially visually impaired individuals, reveals a clear preference for individualized education sessions and materials endorsed by their eye care provider. 

    According to Wolters Kluwer Health, patients crave educational materials from their providers, yet only two-thirds actually get them. This leaves patients searching for information, potentially exposing them to unreliable sources. 

    Providing clear, accessible patient education is crucial to ensure understanding and treatment adherence. 

    The human brain’s ability to process visual information far surpasses its speed with text, making visual aids a powerful tool for health education. In the field of eye care, this becomes even more critical. Patients often experience vision difficulties, potentially hindering their ability to absorb written materials. Providing clear visual representations of diagnoses can significantly improve patient understanding and compliance. 

    A study shows a strong preference for personalized educational materials, especially among older visually impaired patients. Seeing photos of their condition, like glaucoma progression, builds trust and reinforces the importance of treatment recommendations.

    Surveying eye care professionals specializing in dry eye disease revealed a strong emphasis on visual aids during patient education. Photodocumentation is a favored tool for demonstrating the condition to asymptomatic patients, tracking progress, and highlighting the positive outcomes of treatment.

    A visual approach is particularly motivating for patients. It provides tangible evidence of the benefits of their treatment investment, allowing for a deeper understanding of the “why” behind treatment recommendations and paving the way for ongoing collaboration with the patient.

    Understanding complex eye conditions can be challenging for patients. Altris AI aims to bridge this gap by using color coding for pathologies and their signs, severity grading, and pathology progression over time within its OCT analysis.

    With Altris AI, scans are color-coded for instant interpretation: all the detected pathologies are painted in different colors, highlighting the littlest bits that the unprepared eye of a patient would miss otherwise.

    AI in eye care: patient education through doctor explanation to patient color coded OCT scan, segmented by Altris AI, AI for OCT

    This easy-to-understand visual system empowers patients. They can clearly see what’s happening within their eyes and track the progress of any conditions during treatment.

    Eye care professionals are enthusiastic about its impact.

    optometry patient education

    The power of visuals goes beyond understanding a diagnosis. When patients see the interconnected structures that make up their vision, they gain a deeper appreciation for its complexity and the importance of preventative care. This understanding fosters a true partnership between doctor and patient, where the patient is an active, informed participant in their own eye health.

    Summing up: Educating Patients about Eye Health

    Patient education in optometry is vital today and AI is the perfect tool for that. Patients are increasingly curious and open to AI’s potential in general healthcare and eye care in particular, but naturally, some questions and hesitation remain. They stem from a desire to ensure AI considers their individual needs. By addressing these concerns proactively and clarifying when and how AI is used in their care, emphasize the collaborative doctor-AI model—highlight that YOU review and endorse all AI recommendations.

    You can successfully integrate this powerful technology into your practice by addressing patient concerns with empathy and highlighting AI’s benefits. This leads to better patient education in optometry and empowered patient experience, improving understanding, adherence to treatment, and, ultimately, better health outcomes.

     

    Disclaimer: USA FDA 510(k) Class II; Altris Image Management System (Altris IMS); AI/ML models and components intended to use for research purposes, not for clinical diagnosis purposes.

  • early glaucoma detection

    Early Glaucoma Detection Challenges and Solutions

    AI Ophthalmology and Optometry | Altris AI Maria Martynova
    09.04.2023
    10 min read

    Glaucoma’s silent progression highlights a challenge we all face as clinicians. Millions of individuals remain at risk for irreversible vision loss due to undiagnosed disease – 50% or more of all cases. This emphasizes our responsibility to enhance early detection strategies for this sight-threatening condition.

    Existing clinical, structural, and functional tests depend on both baseline exams and the need to observe changes over time, delaying the assessment of treatment effectiveness and the identification of rapid progression.

    In this article, we will consolidate our knowledge as eye care professionals about Glaucoma, explore current clinical detection practices, and discuss potential areas to optimize early Glaucoma detection.

    What we know about Glaucoma

    Glaucoma is a complex neurodegeneration fundamentally linked to changes occurring in two locations: the anterior eye (elevated pressure) and the posterior eye (optic neuropathy). Factors influencing glaucoma development include:

    • age,
    • ethnicity,
    • family history,
    • corneal thickness,
    • blood pressure,
    • cerebrospinal fluid pressure,
    • intraocular pressure (IOP),
    • and vascular dysregulation.

    Early stages of Glaucoma are often asymptomatic, highlighting the importance of comprehensive eye exams, even without apparent vision issues. Current diagnostic criteria are insufficient and lack markers of early disease.

    Glaucoma is broadly divided into primary and secondary types, with primary open-angle Glaucoma (POAG) representing approximately three-quarters (74%) of all glaucoma cases. 

    Primary glaucomas develop independently of other eye conditions, while secondary glaucomas arise as a complication of various eye diseases, injuries, or medications.

    POAG is characterized by an open iridocorneal angle, IOP usually > 21 mmHg, and optic neuropathy. Risk factors include age (over 50), African ancestry, and elevated IOP. While IOP is a significant factor, it’s unpredictable – some patients with high IOP don’t develop Glaucoma, and some glaucoma progresses even at normal IOP.

    Normal-tension Glaucoma (NTG) shares POAG’s optic nerve degeneration but with consistently normal IOP levels (<21mmHg). Vascular dysregulation and low blood pressure are risk factors. While rarer than POAG, IOP lowering can still be beneficial.

    Primary Angle-Closure Glaucoma (PACG) is caused by narrowing the iridocorneal angle, blocking aqueous humor flow. More common in East Asian populations, it can be acute (severe symptoms, IOP often > 30mmHg) or chronic.

    Secondary glaucomas are caused by underlying conditions that elevate IOP. Examples include pseudoexfoliative, neovascular, pigmentary, and steroid-induced Glaucoma.

    Age is a central risk factor for glaucoma progression, linked to cellular senescence, oxidative stress, and reduced resilience in retinal ganglion cells and the trabecular meshwork. Intraocular pressure (IOP) remains the most significant modifiable risk factor. Understanding individual susceptibility to IOP-related damage is crucial. Existing IOP-lowering treatments have limitations in both efficacy and side effects.

     Intraocular pressure measuring device for early glaucoma detection

    Glaucoma has a strong genetic component, with complex interactions between genes, signaling pathways, and environmental stressors. For now, we know that mutations in each of three genes, myocilin (MYOC), optineurin (OPTN), and TANK binding kinase 1 (TBK1), may cause primary open-angle Glaucoma (POAG), which is inherited as a Mendelian trait and is responsible for ~5% of cases (Mendelian genes in primary open-angle Glaucoma).

    More extensive effect mutations are rare, and more minor variants are common. Genome-wide association studies (GWAS) reveal additional genes potentially involved in pressure sensitivity, mechanotransduction, and metabolic signaling. 

    Recent research also suggests a window of potential reversibility even at late stages of apoptosis (a programmed cell death pathway, which is likely the final step in RGC loss). Cells may recover if the harmful stimulus is removed. This offers hope that dysfunctional but not yet dead RGCs could be rescued.

    The Challenges of Early Glaucoma Detection

    One of the most insidious aspects of Glaucoma is its largely asymptomatic nature, especially in the early stages. This highlights the limitations of relying on symptoms alone and underscores the importance of proactive detection strategies.

    Relying on intraocular pressure (IOP) as a stand-alone glaucoma biomarker leads to missed diagnoses, especially in patients with normal-tension Glaucoma. Structural changes, such as optic disc cupping, also lack the desired sensitivity and specificity for early detection.  

    Optic nerve head evaluations remain subjective, with studies indicating that even experienced ophthalmologists can underestimate or overestimate glaucoma likelihood.  

    According to the research, even experienced clinicians can have difficulty evaluating the optic disc for Glaucoma. Both trainees and comprehensive ophthalmologists have been found to underestimate glaucoma likelihood in approximately 20% of disc photos. They may also misjudge risk due to factors like variations in cup-to-disc ratio, subtle RNFL atrophy, or disc hemorrhages.  

    Current Glaucoma Diagnosis in Clinical Practice

    Eye care professionals typically encounter new glaucoma diagnoses in one of two ways:

    • Firstly, during routine preventive examinations. A patient may come in for various reasons, including work requirements, and be found to have elevated intraocular pressure. This finding prompts further evaluation, potentially leading to a glaucoma diagnosis.
    • Secondly, it is a finding in older patients (often over 50-60). A patient may present with significant vision loss in one eye, and examination reveals Glaucoma. Unfortunately, vision loss at this stage is often irreversible.

    Alternatively, a patient may seek care for an unrelated eye problem. During the comprehensive examination, the eye care professional may discover changes suggestive of Glaucoma.

    As it is statistically prevalent, we most often work with primary Glaucoma, where no other underlying eye diseases are present. Functional changes, specifically as seen on visual field testing, help diagnose and stage glaucoma. During the test, a patient indicates which light signals are visible within their field of vision, building a map of each eye’s visual function. 

    Vision Field Test for Glaucoma Detection

    Vision text for glaucoma detection

    The optic nerve (a nerve fiber layer of the retina consisting of the axons of the ganglion neurons coursing on the vitreal surface of the retina to the optic disk) transmits visual information from the retina to the brain. Each part of the retina transmits data via a corresponding set of fibers within the optic nerve. Damage to specific nerve fibers results in loss of the associated portion of the visual field.

    Challenges with this test include its complexity, especially for older patients, and its subjective nature.

    Changes in the visual field determine glaucoma severity. These changes indicate how much of the visual field is already damaged and which parts of the optic nerve are compromised. We call these ‘functional changes‘ as they directly impact visual function.

    Fundus photo for Glaucoma detection: What does early glaucoma look like?

    Alongside functional changes, Glaucoma causes visible structural changes in the optic nerve that can be observed during a fundus examination. The optic nerve begins at a point on the retina where all the nerve fibers gather, forming the optic disc (or optic nerve head). The nerve fibers are thickest near the optic disc, creating a depression or ‘hole’ within it. As Glaucoma progresses, this depression deepens due to increased pressure inside the eye. This pressure causes mechanical damage to the nerve fibers, leading to thinning and loss of function.

    Another crucial area on the retina is the macula, which contains a high density of receptors responsible for image perception. While the entire retina senses images, the macula provides the sharpest, clearest vision. We use this area for tasks like reading, writing, and looking at fine details. Therefore, the damage to the macular area significantly impacts a patient’s visual quality and clarity. Nerve fibers carrying visual information from this crucial region are essential when evaluating the visual field. We prioritize assessing the macula’s health because it directly determines the quality of a patient’s central vision.

    Unfortunately, even if the macula is healthy, damage to the nerve fibers transmitting its signals will still compromise vision.

    Glaucoma OCT detection

    The most effective way to get information about nerve states is OCT, which allows us to penetrate deep into the layers to see the nerve fiber layer separately, making it possible to assess the extent of damage and thinning to this layer in much more detail. 

    Retinal Layers shown on OCT, including Inner Plexiform Layer, Nerve Fiber Layer and Ganglion Cell Complex

    The Glaucoma OCT test provides valuable information about ganglion cells. These cells form the nerve fiber layer and consist of a nucleus and two processes. The short process collects information from other retinal layers, forming the inner plexiform layer. The ganglion cell layer comprises the cell nuclei, while the long processes extend out to create the nerve fiber layer.

    Damage to the ganglion cells or their processes leads to thinning across these layers, which we can measure as the thickness of the ganglion cell complex. OCT often detects these microscopic changes before we can see them directly. This enables the detection of structural changes alongside the functional changes observed with standard visual field tests.

    Ideally, OCT would be more widely accessible, as the human eye cannot detect early changes. However, how often a patient undergoes OCT depends on various factors. These include the doctor’s proficiency with the technology, the patient’s financial situation (as OCT can be expensive), and the overall clinical picture.  

    Ways to Enhance Early Glaucoma Detection 

    We surveyed eye care specialists, and there was a strong consensus that the most efficient ways to boost early glaucoma detection are regular eye check-ups (47%) and utilizing AI technology (40%). Educating patients was considered less significant (13%).

    Eye care professionals survey on ways to the most efficient ways to boost early glaucoma detection

    AI as a second opinion tool

    AI offers valuable insights into glaucoma detection, analyzing changes that may not be visible to the naked eye or even on standard OCT imaging.

    The Altris AI Early Glaucoma Risk Assessment Module specifically focuses on analyzing the OCT ganglion cell layer, measuring its thickness, and identifying any thinning or asymmetry. These measurements help determine a patient’s glaucoma risk. If the ganglion cell complex has an average thickness and is symmetrical throughout the macula, the module will assign a low probability of Glaucoma.

    Asymmetries or variations in thickness increase the calculated risk, indicated by a yellow result color. Glaucoma GCC is often characterized by thinning or asymmetry, suggesting glaucomatous atrophy, indicating a high risk, and triggering a red result color.

    Changes are labeled as ‘risk’ rather than a diagnosis, as other clinical factors contribute to a confirmed glaucoma diagnosis. Indicators of atrophy could also signal different optic nerve problems, such as those caused by inflammation, trauma, or even conditions within the brain.

    Conor Reynold on the most efficient ways to boost early glaucoma detection

    It’s crucial to remember that AI ganglion cell layer OCT detection tools like this are assistive – they cannot independently make a diagnosis. Similarly, while helpful in assessing risk, they cannot completely rule out the possibility of developing a disease. This limitation stems from their reliance on a limited set of indicators. Like other technical devices, the module helps flag potential pathology but does not replace the clinician’s judgment.

    AI can be incredibly valuable as a supplemental tool, especially during preventive exams or alongside other tests, to catch possible early signs of concern. However, medicine remains a field with inherent variability. While we strive for precise measurements, individual patients, not just statistical averages, must be considered. 

     Therefore, it is unrealistic to expect devices to provide definitive diagnoses without the context of a complete clinical picture.

    Public Health Education 

    Elderly patient is investigating his OCT report with color coded by Altris AI biomarkers

    The asymptomatic nature of Glaucoma in its early stages, paired with limited public awareness, creates a fundamental barrier to early detection. 

    For example, 76% of Swiss survey respondents could not correctly describe Glaucoma or associate it with eye health. 

    A Canadian study similarly shows that less than a quarter of participants understand eye care professionals’ roles correctly and that most people are unaware eye diseases can be asymptomatic.  

    Crucially, these studies also found a strong desire across populations for more information about eye care, including Glaucoma (e.g., 97% of Swiss respondents agreed the public lacks knowledge, and 71% want more information). This indicates a receptive audience for targeted education initiatives.

    Health education programs, like the USA EQUALITY study, demonstrate the potential to address this challenge. This study combined accessible eye care settings with a culturally sensitive eye health education program, targeting communities with high percentages of individuals at risk for Glaucoma. 

    Maria Sampalis on the most efficient ways to boost early glaucoma detection

    Participants showed significant improvements in both glaucoma knowledge (a 62% increase in knowledge questions) and positive attitudes toward the importance of regular eye care (52% improvement). 

    These results show us that improving glaucoma detection involves more than medical tools. Successful education strategies should prioritize community outreach, partnering with community centers, primary care clinics, and local organizations to reach those lacking access or awareness of regular eye care. 

    Information about Glaucoma must be presented clearly and accessible, focusing on the basics—what Glaucoma is, its risk factors, and the importance of early detection. Addressing common misconceptions, such as the belief that Glaucoma can’t be present if vision is good, is crucial, as is targeting high-risk groups, including older adults, those with a family history of Glaucoma, and certain ethnicities.

    Screening Programs and Regular visits

    Community-based studies consistently demonstrate the benefits of targeted screening programs for early glaucoma detection in high-risk populations. 

    These programs are essential, as traditional glaucoma screening methods often miss individuals with undetected disease.

    Luke Baker on the most efficient ways to boost early glaucoma detection

    The USA Centers for Disease Control and Prevention (CDC) funded SIGHT studies focused on underserved communities, including those in urban areas with high poverty rates (MI-SIGHT, Michigan), residents of public housing and senior centers (NYC-SIGHT, New York), and the rural regions with limited access to specialist eye care (AL-SIGHT, Alabama). These programs successfully reached populations who often don’t have regular eye care. 

    Notably, the results across all three studies demonstrate the effectiveness of targeted programs – approximately 25% of participants screened positive for Glaucoma or suspected Glaucoma. 

    The SIGHT studies recognize that screening is just the first step, highlighting the importance of follow-up care, testing ways to improve follow-through, using strategies like personalized education, patient navigators, financial incentives, and providing free eyeglasses when needed.

    Summing up

    Glaucoma’s insidious nature demands better early detection strategies. While existing methods are essential, we must also invest in new technologies like AI, enhance public health education about Glaucoma, and focus on targeted screening within at-risk populations. Combining these approaches can protect sight and reduce the burden of glaucoma-related blindness.

     

    Disclaimer: USA FDA 510(k) Class II; Altris Image Management System (Altris IMS); AI/ML models and components intended to use for research purposes, not for clinical diagnosis purposes.

  • Busniess case: Effective eye care innovation

    Effective Eye Care Innovation: Altris for the Eye Place

    AI Ophthalmology and Optometry | Altris AI Altris Inc.
    1 min.

    The Client: the Eye Place is an optometry center in Ohio, the United States. It is a renowned center that provides comprehensive eye examinations, infant and pediatric eye care, emergency care, LASIK evaluations, and cataract assessment. They offer precise personalized care plans to better treat and prevent ocular disease and chronic illness. Scott Sedlacek, the optometry center owner, is an experienced OD, an American Optometric Association member, and a true innovator who implemented AI for OCT in the optometry practice among the first in the USA.

    The Problem:  The Eye Place owner has always been searching for innovations to transform the center making it truly digital.  The aim of the innovation was also to augment the analysis ability of the optometry specialists using it, while allowing for better visualization of the retinal layers affected for doctors and patients.

    The Solution: The Altris AI system was introduced in the Eye Place and it transformed the practice making it more efficient. Scott Sedlacek, the owner of the practice admits that:

    “We are one of the first Optometry offices with this AI technology. It is amazing at detecting and defining pathology in the 3D digital images I take with my Topcon Maestro2 OCT. We use Image Net6 software to export Dicom files to Altris AI. It’s fast and easy. If you want the right diagnosis, right away, this is the way to go.

    I’ve been using this technology on every patient every day since the beginning of January 2024. There is no other technology in my 25 years being an optometrist that was easier to implement and more impactful immediately.”

     

    Busniess case: Effective eye care innovation

    ROI of the AI for OCT scan analysis

    Many eye care specialists worry about the ROI of Altris AI: will the system pay off? After all, it is an investment. That is the experience of Scott, the owner of the Eye Place:

    “Altris AI identified and described pathology that I could not. Early detection changes the treatment from doing nothing to something. Also, Altris AI described something that I thought was worse than it was. Saved me from over-referring. Patients love to see the color-coded images which help as an educational tool and get buy-in on the treatment plan which helps compliance. There is a wow factor for me and my patients that sets your practice apart from the others.”

    Effective Eye Care Innovation: What Else?

    Apart from AI for OCT analysis, the Eye Place utilizes advanced technology for diagnostics.

    • For instance, 3D OCT equipment is a highly advanced screening system that checks for serious conditions such as glaucoma, diabetes, macular degeneration, vitreous detachments, and more. Using this technology we can simultaneously take a digital photograph and a 3-D cross-section of the retina.
    • Additionally, AdaptDX Pro can detect macular degeneration earlier than by any other means.
    • Cognivue Thrive is a personalized, consistent, and reliable way to receive an overall screening of brain health.It is interactive, non-invasive, self-administered, secure, and confidential. It is a five-minute screening for patients of all ages, and you get immediate results in a simple 1-page report.

    These are just some examples of innovative tools that optometry centers can use to automate and improve the level of diagnostics. If you want to imagine how Optometry Centers might look like in 2040, here is the article for you. The future is here, and those centers that digitalize have more chances of winning the competition and the hearts of the clients, much like the Eye Place which is highly appreciated by patients.

    As you see, effective eye care innovations are an integral part of the work of the Eye Place which is why Artificial Intelligence for OCT analysis was seamlessly integrated into the workflow of the optometry center.

     

    Disclaimer: USA FDA 510(k) Class II; Altris Image Management System (Altris IMS); AI/ML models and components intended to use for research purposes, not for clinical diagnosis purposes.