Google AI Matches Diabetic Retinopathy Screens

Ophthalmologists do not have to worry just yet, but data from a new machine learning study suggest computers will be able to screen for diabetic retinopathy with similar accuracy, and better cost-effectiveness, in the not-too-distant future, according to a report published online November 29 in JAMA. Experts are divided, however, as to how and when such a technology might be integrated into care, and how specialists such as ophthalmologists and radiologists, who are trained to evaluate image data, should respond. Prior studies have already shown that computers can learn to recognize diabetic retinopathy in retinal photographs, but until now, they have not reached the accuracy needed for clinical use. The most promising of these efforts has used a process called deep machine learning, in which the algorithm is not told…


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