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Keeping AI in Healthcare in Check


Smartphone on a doctor's desk shows visualizations of patient data.

"One of the big challenges for data scientists and healthcare 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." -Maia Hightower

Credit: Getty Images

The reach of artificial intelligence (AI) in healthcare 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," said Maia Hightower, chief medical information officer at University of Utah Health, at the 2021 STAT Summit.

From Stat
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