Deploying AI in Medicine: Countering Bias and Avoiding Entrenchment.

While AI in healthcare shows promise in diagnosing diseases and predicting patient needs, it also has the potential to perpetuate racial inequities in care delivery. The data used to train algorithms often reflect existing biases and inequities in healthcare, leading to inaccurate predictions and recommendations. Regulators are taking notice and proposing new regulations to combat bias in AI, but some worry that without clear guidance and financial support, hospitals with fewer resources may struggle to comply. To address bias in algorithms, the entire healthcare sector must address underlying racial inequities in care.