How Deep Learning Predicts Disease Risk

Deep learning is giving doctors a life-saving edge by identifying high-risk patients before diseases are typically diagnosed. Researchers at New York’s Icahn School of Medicine at Mount Sinai are using deep learning, a branch of artificial intelligence, to analyze patient electronic health records and determine those most likely to develop a serious ailment within the next year. The experimental tool, dubbed Deep Patient, trained on 12 years of patient records – 700,000 in all. When tested, it could predict risk for dozens of diseases including heart failure, several types of cancer and severe diabetes. “For most diseases, prevention is easier than reversal,” said Joel T. Dudley, an author on a recent paper in Nature Scientific Reports describing the Mount Sinai study. “This could have a huge impact on people’s health.” Electronic Health…

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