Google’s deep-learning on-par with doctors in detecting diabetic retinopathy

In a paper published in the Journal of the American Medical Association, Google detailed an algorithm that could detect when someone had developed blindness as a result of diabetes. It showed that algorithms could, at least in the case of this particular affliction, make a diagnosis with an accuracy on-par with medical professionals. A key difference between this research and earlier papers on medical imaging by large tech companies was its publication and defence by a respected medical journal like JAMA. Along with Google’s paper, JAMA also published an article translating the finding for medical professionals and urging the community that it was a good thing that algorithms could allow doctors to spend more time with patients, rather than reading scans. Meanwhile, radiologist Luke Oakden-Rayner who, in a lengthy blog…


Link to Full Article: Google’s deep-learning on-par with doctors in detecting diabetic retinopathy

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