AI can use a photo of the eye to estimate retinal age, flag risk for major diseases

A research group led by Professor Toru Nakazawa at the Tohoku University Graduate School of Medicine has developed an artificial intelligence (AI) model that estimates "retinal age," an indicator reflecting an individual's biological aging, from a single fundus photograph of the retina

There may be some truth to the saying “the eyes are the window to the soul.” Age-related changes are reflected in the retina, the light-sensitive tissue at the back of the eye. Recent research shows that a photo of the retina may also reveal potential risks for major diseases like diabetes.

 The apparent link between retinal age and major disease risk could be used as a helpful screening aid in the future. The findings are published in Communications Medicine.

“Fundus images are non-invasive photos of the eye taken as part of regular health check-ups—so no additional work is needed,” explains Nakazawa, “Our model would be a nearly frictionless addition to a clinician’s typical workflow.”

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