Scientists from Byers Eye Institute at Stanford University have found a way to use artificial intelligence to combat a complication of diabetes that affects the eyes, leading to vision loss, Digital Journal reports.
The research applied deep-learning methods to produce an automated algorithm designed to detect diabetic retinopathy from the scanning of images of the eye.
The algorithm is based on more than 75,000 images, taken from the back of the eye, and relating to a wide range of patients representing several ethnicities.
Diabetic retinopathy affects up to 80 percent of people who have had diabetes for 20 years or more. It's a major health concern, since all people with diabetes are at risk.
It's very hard to detect and often has no signs or symptoms. Detection with the algorithm does not require any specialized computer equipment, and it can be used on a personal computer or even a smartphone.
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