A novel AI-powered retina tracker can analyze retinal photos with near-perfect accuracy in beneath one second, in response to a examine introduced at ENDO 2025, the Endocrine Society’s annual assembly in San Francisco, Calif.
The researchers say the findings provide hope for sight-saving screenings for diabetic retinopathy and different eye ailments which might be quick, reasonably priced, and accessible worldwide.
“The applying, an AI-based mannequin built-in into Easy Cell AI Retina Tracker (SMART), makes use of cutting-edge deep studying algorithms to investigate retinal fundus photos shortly and precisely, on internet-powered units together with fundamental smartphones,” in response to presenting creator Jansi Rani Sethuraj, B.S.N., R.N., C.C.R.N., of the College of Texas Well being Sciences Heart in Houston, Texas.
“The SMART AI software permits ophthalmologists to streamline affected person screening, empowers major care suppliers to include eye exams into routine visits, and expands entry to high-quality retinal assessments in areas missing specialised ophthalmic care.”
Diabetic retinopathy, a number one reason behind preventable blindness, impacts over 100 million folks globally because the incidence and prevalence of diabetes proceed to rise worldwide.
Two researchers, Ramya Elangovan and Kavin Elangovan of AIM Physician in Houston, Texas, sourced a number of thousand anonymized retinal photos from a number of datasets representing various populations spanning six continents.
These photos had been used to coach and validate deep studying fashions able to detecting and staging diabetic retinopathy with over 99% accuracy in beneath one second. The tracker was additionally in a position to differentiate diabetic retinopathy from comparable eye pathologies.
Well being care professionals from a number of worldwide establishments independently validated the applying’s reliability and value, underscoring its international applicability.
“By democratizing eye care by means of universally accessible cellular expertise, this innovation has the potential to display billions globally, decreasing imaginative and prescient loss from diabetic retinopathy whereas remodeling well being care supply programs,” mentioned the chief mentor of this undertaking, Elangovan Krishnan, M.B., B.S., P.G.D.H.M., M.Tech., M.S., Ph.D., of AIM Physician.
“This analysis proves that AI could be a power for good, bridging gaps in care and bringing hope to hundreds of thousands prone to shedding their sight.”
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AI-powered cellular retina tracker screens for diabetic eye illness with 99% accuracy (2025, July 15)
retrieved 15 July 2025
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