1. Machine-to-machine learning may lead to improved grading of disc photos

    Machine-to-machine learning may lead to improved grading of disc photos

    A machine-to-machine method of deep learning may lead to a more accurate way to estimate the presence of glaucoma from photographs, according to a speaker. “We ophthalmologists know that we perform very poorly in diagnosing glaucoma from photographs. It’s a challenging task unless you have very advanced disease. It’s a challenging task to look at a picture and determine whether the nerve has glaucoma or not,” Felipe A. Medeiros , MD, MPH, of Duke University, said at the American Glaucoma Society annual meeting. SEE ALSO VIDEO: Technology allows ophthalmologists to detect… IOP decrease maintained with Xen45 Artificial intelligence, machine ...

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