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Any digital health conference features its share of machine learning evangelism. Technology executives give fervent testimonials about its power to save lives and money, to predict episodes of severe illness, to help hospitals root out inefficiency.

This year’s gathering of the Health Information Management Systems Society (HIMSS) in Las Vegas was no different. But in between the glowing anecdotes, an aggressive counter narrative emerged: Machine learning needs a watchdog.

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