STAT December 18, 2019
ROCHESTER, Minn. — It would be easy to wonder what Zachi Attia is doing in the cardiac operating rooms of one of America’s most prestigious hospitals. He has no formal medical training or surgical expertise. He cannot treat arrhythmias, repair heart valves, or unclog arteries. The first time he watched a live procedure, he worried he might faint.
But at Mayo Clinic, the 33-year-old machine learning engineer has become a central figure in one of the nation’s most ambitious efforts to revamp heart disease treatment using artificial intelligence.
Working side by side with physicians, he has built algorithms that in studies have shown a remarkable ability to unmask heart abnormalities long before patients begin experiencing symptoms. Much of that work...
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