A new study reveals that an AI-driven retinal scan can detect diabetes and even prediabetes with 95% accuracy using a single eye photograph. Developed by researchers in India and the US, this non-invasive tool could revolutionize large-scale screening, reducing reliance on blood tests and transforming early detection strategies nationwide.
AI Eye Scan: A Game-Changer for Diabetes Screening
India, home to one of the world’s largest diabetic populations, may soon benefit from a revolutionary screening method. Researchers from Yenepoya (Deemed-to-be) University, Madras Diabetes Research Foundation (MDRF), and Emory University (USA) have developed an AI-powered retinal imaging tool capable of identifying subtle vascular changes linked to diabetes.
Key Highlights
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Accuracy: Detects diabetes and prediabetes with 95% precision using a single retinal photograph.
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Non-Invasive: Eliminates the need for finger-prick blood tests, offering a painless alternative.
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Early Detection: Spots microvascular changes invisible to the human eye, enabling proactive intervention.
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Scalability: Ideal for mass screening in India, where millions remain undiagnosed due to limited access to testing.
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Publication: Findings published in Diabetes Technology and Therapeutics journal (Jan 2026).
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Expert View: Researchers emphasize the retina as a “window to vascular health,” making AI a powerful ally in preventive medicine.
This innovation could significantly ease the burden on India’s healthcare system, enabling faster, cheaper, and more accessible diabetes screening for millions.
Sources: Times Now, The Times of India, Daijiworld