Bias in Medical AI: Implications for Clinical Decision-making

This medical review explains how biases can arise throughout the medical AI lifecycle—from data collection to deployment—and how they can compound to produce substandard or inequitable clinical decisions. It links biased clinical decision support to exacerbation of longstanding healthcare disparities and calls for diverse datasets, rigorous trials, standardized bias reporting, and continuous monitoring to safeguard patient safety.