The Testing of AI in Medicine is a Mess. Here’s How It Should Be Done.

“Many think that the bar is too low. When Gary Weissman, a critical-care physician at the University of Pennsylvania in Philadelphia, reviewed the FDA-approved AI devices in his field, he found that, of the ten he identified, only three cited published data in their authorizations. Just four mentioned a safety assessment and none included a bias evaluation, which analyses whether the tool’s outcomes are fair across different patient groups. ‘What’s concerning is these devices really can and do influence care at the bedside,’ he says. ‘A patient’s life can hinge on those decisions.'”

Read more at Nature.