Artificial Intelligence and Patient Safety: Promise and Challenges

This perspective highlights both the potential and the risks of AI in clinical care, emphasizing that models are only as good as the data on which they are trained and can exacerbate racial and ethnic disparities if that data is biased or unrepresentative. It calls for health care organizations to validate AI tools on their own patient populations, continuously monitor model performance and bias, and maintain robust privacy and safety safeguards as AI becomes more deeply integrated into clinical decision making.