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The reach of artificial intelligence in health care settings has expanded to touch everything from cancer care to appointment no-shows. But as AI algorithms transition from exciting proofs-of-concept to a routine part of care, regulators, researchers, and hospital leaders must determine how to keep the technology in check to prevent bias.

“There are gaps in our datasets that don’t adequately represent our population at large,” Maia Hightower, chief medical information officer at University of Utah Health, said last week at the 2021 STAT Summit. “I think one of the big challenges for data scientists and health care systems is, as we’re curating the data … that we’re closing the gap and not widening the disparities gap when it comes to digital AI.”

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