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AI-powered OCT workflow with Altris AI

Guidance on AI-enhanced OCT workflow for optometrists
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Maria Znamenska, Retina Expert, PhD Ophthalmology, Altris AI Medical Director

How can an optometrist start with Artificial intelligence for OCT scan analysis?

My name is Maria Znamenska, I am an ophthalmologist, a PhD in ophthalmology, and a Medical Director of Altris AI. I have been practicing and teaching OCT for more than 16 years. I want to show how Artificial Intelligence can be used for OCT scan analysis with real OCT scans with AMD, DR, early glaucoma, and GA.

For any modern optometry, OCT is an indispensable tool today. With AI for OCT scan analysis, optometrists improve the referral process, increase ROI on OCT, and educate patients on what is going on with their retina with the help of color coding. With AI-powered analysis of OCT, the optometry business becomes truly modern and digital.

Navigating GA, wet AMD, and DR with Altris AI Workflow

Altris AI AI for OCT Workflow for Optometrists

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Using Altris AI workflow for GA, DR, wet AMD patients.

  • Severity analysis of OCT scan by Altris AI

    You start by uploading 512 B-scans into the severity differentiation module to speed up the screening process for patients. All these b-scans are visualized in a severity cube and you instantly see that there are pathological scans ( marked in red), non-pathological scans ( marked in green), and scans with a medium level of pathology ( yellow). So you can work directly with pathological scans

  • Urgency score of OCT scan by Altris AI
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    The referral urgency score designed especially for optometrists suggests how soon this patient’s referral is needed. 

  • Working with ocular pathologies detected by Altris AI

    Next, you explore the pathology detection module as inside it you can analyze pathological scans on the presence of 70+ retina pathologies and biomarkers. Here you see that the module detects 70 + biomarkers and supports with the diagnostic decision-making. 

  • Early glaucoma risk assessment with Altris AI

    The glaucoma module assesses if there is an early risk of glaucoma based on GCC asymmetry analysis.

  • Customizable OCT reports

    Customizable reports mean you can add only the information you need for a referral or create the report in such a way that it will comprehensible for patients as well.

CHOOSE A PATIENT JOURNEY

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AI-powered OCT workflow for the patient with GA

Geographic atrophy (GA) is a chronic progressive degeneration of the macula, as part of late-stage age-related macular degeneration (AMD).

See how Altris AI analyzes OCT scan with GA

  • AI for eye care

    Hypertransmission is one of the first noticeable biomarkers of DR we clearly see with the help of Altris AI.

  • AI for eye care

    We also see hard drusen which are small, round, well-defined deposits with a diameter measuring less than 63 microns.

  • AI for eye care

    Soft drusen are also noticeable on this OCT quite obviously. Soft drusen are concentrated at the central macula and appear decreasingly towards the peripheral retina.

  • AI for eye care

    Ellipsoid zone disruption. Changes in the photoreceptor layer can be identified as a disruption or defect in the ellipsoid zone (EZ).

  • AI for eye care

    Neurosensory retina atrophy. Thinning and loss of retina layers because of retina atrophy

  • AI for eye care

    RPE disruption.  Elevation of the Retinal Pigment Epithelium layer.

  • AI for eye care

    RPE atrophy. An extensive area of geographic, submacular pigment atrophy involves the entire posterior retina between the temporal retinal vascular arcades.

AI-powered OCT workflow for the patient with DR

Diabetic retinopathy (DR) is a microvascular disorder caused by vision-threatening damage to the retina, a long-term sequela of diabetes mellitus.

See how Altris AI analyzes OCT with DR

  • Biomarker of Diabetic Retinopathy, Hard Exudates
    AI for eye care

    Hard exudates. They are composed of lipid and proteinaceous material, such as fibrinogen and albumin that leak from the impaired blood–retinal barrier.

  • Biomarker of Diabetic Retinopathy, Diffuse Edema
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    Diffuse Edema. It is a thickened areas of lower reflectivity in the outer retina but specifically without cystoid spaces.

  • Biomarker of Diabetic Retinopathy, Intraretinal hyperreflective foci
    AI for eye care

    Intraretinal hyprereflective foci are typically dot-like or round, regular lesions seen in all the retinal layers and choroid

  • Biomarker of Diabetic Retinopathy, Intraretinal cystoid fluid
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    Intraretinal cystoid fluid. The fluid inside the retina which is accumulated as cystic cavities.

AI-powered OCT workflow for the patient with Wet AMD

The following biomarkers can be found here on OCT

Wet AMD is the type of AMD that develops when abnormal blood vessels grow into the macula

  • Biomarker of Wet AMD, Ellipsoid zone disruption
    AI for eye care

    Ellipsoid zone disruption is the changes in the photoreceptor layer can be identified as a disruption or defect in the ellipsoid zone (EZ).

  • Biomarker of Wet AMD, RPE disruption
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    RPE Disruption is the disruption of the Retinal Pigment Epithelium layer

  • Biomarker of Wet AMD, Subretinal fluid
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    Subretinal fluid corresponds to the accumulation of a clear or lipid-rich exudate (serous fluid) in the subretinal space, i.e., between the neurosensory retina (NSR) and the underlying retinal pigment epithelium (RPE), in the absence of retinal breaks, tears, or traction

  • Biomarker of Wet AMD, Fibrovascular RPE detachment
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    Fibrovascular RPE detachment. Delamination of the pigment epithelium of the retina is caused by the presence of newly formed vessels (fibrovascular membrane) under the RPE.

  • Biomarker of Wet AMD, Subretinal hyperreflective material
    AI for eye care

    Subretinal hyperreflective material (SHRM). It’s a hyperreflective material that is external to the retina and internal to the retinal pigment epithelium (RPE)

AI-powered OCT workflow for the patient with Glaucoma

  • OCT Optometry: GCC Analysis and GCC Asymmetry analysis for early glaucoma risk assessment
    AI for eye care

    Early Glaucoma assessment risk is based on Ganglion Cell Complex (GCC) asymmetry analysis of the hemispheres.

  • Early glaucoma risk assessment by Altris AI
    AI for eye care

    Based on the level of asymmetry glaucoma risk is defined as low, medium or high.

  • GCC-thickness-asymmetry analysis by Hemispheres
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    For more detailed analysis we overlayed an 8×8  grid on the 6 by 6 macular area and asymmetry analysis compares each grid area of one hemisphere with the opposite hemisphere.

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Maria Znamenska
MD, PhD Ophthalmology, Altris AI Medical Director
"The Altris AI platform empowers Optometrists to make more informed and timely decisions, allowing for early detection of macula pathology and more efficient OCT workflow. Our web-based platform utilizes advanced algorithms and transforms complex macula OCT scans into actionable insights enabling the Optometrist to deliver the highest standard of care to your patients."
Let's not forget about patients. 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 optometrists and patients that sets your practice apart from the others.

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AI for OCT scan analysis is a chance for every optometrist to unleash the whole potential of this diagnostic tool.

OCT is the most effective method of retina diagnosis yet it requires years of learning and practice to truly master it. Altris AI ( AI for OCT) analysis becomes a solid and reliable diagnostic decision-making support tool for optometrists and dispensing opticians.

  • Altris AI advises on the urgency of a referral
  • Altris AI detects 70+ pathologies and biomarkers
  • Altris AI assesses early risk of glaucoma
  • Altris AI provides the chance to build customisable reports
While AI has the potential to assist optometrists in various tasks, such as diagnosing certain eye conditions or analyzing images, it will never replace them. Optometry involves a combination of technical expertise, patient interaction, and nuanced decision-making that’s challenging for AI to replicate entirely.