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Google Successfully Uses Machine Learning To Detect Diabetic Retinopathy

BrianFagioli writes from a report via BetaNews: Diabetic eye disease is caused by retinopathy. Affected diabetics can have small tears inside the eye, causing bleeding. Over time, they can lose vision, and ultimately, they can go blind. Luckily, Google has been trying to use machine learning to detect diabetic retinopathy. Guess what? The search giant has seen much success. Not only are the computers able to detect the disease at the same level as ophthalmologists, but Google is actually slightly better! “A few years ago, a Google research team began studying whether machine learning could be used to screen for diabetic retinopathy (DR). Today, in the Journal of the American Medical Association, we’ve published our results: a deep learning algorithm capable of interpreting signs of DR in retinal photographs, potentially helping doctors screen more patients, especially in underserved communities with limited resources,” says Lily Peng, MD Ph.D., Product Manger at Google. She goes on to say “our algorithm performs on par with the ophthalmologists, achieving both high sensitivity and specificity. […] For example, on the validation set described in Figure 2, the algorithm has a F-score of 0.95, which is slightly better than the median. F-score of the 8 ophthalmologists we consulted (measured at 0.91).”


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