Every year in the U.S., tens of thousands of hospital patients die of preventable causes. For many of these patients, warning signs are subtle and easy for doctors to miss. Suchi Saria is the founder and CEO of Bayesian Health, and a professor at Johns Hopkins where she runs a lab focused on machine learning and healthcare. Suchi’s problem is this: How can you use AI to detect when hospital patients are at risk of potentially deadly complications – and how can you get doctors to listen?
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