Performance and Fairness of a Peripheral Artery Disease Detection Model Across Patient Phenotypes and Health Systems

BackgroundPeripheral artery disease (PAD) is a major cause of cardiovascular events but remains underdiagnosed. Electronic health record (EHR)-based machine learning models show promise for earlier detection, but developing generalizable and fair models across diverse populations remains challenging