Rethinking Algorithm Performance Metrics for Artificial Intelligence in Diagnostic Medicine

Gari Clifford and Matthew Reyna from Emory University and Elaine Nsoesie from Boston University recently published an invited viewpoint in The Journal of the American Medical Association on "Rethinking Algorithm Performance Metrics for Artificial Intelligence in Diagnostic Medicine". The viewpoint focuses on how we often use the wrong optimization targets when applying machine learning to medical data, and how we can address this issue, and is part of the Gordon and Betty Moore Foundation's broader series on Diagnostic Excellence.