Adam M. May, MD

Assistant Professor of Medicine

Washington University in St. Louis (WU)

My principle research interests concern the discovery, development and refinement of innovative processes to enhance the diagnostic capabilities of automated electrocardiogram interpretation. Specifically, my work has led to the development of automated methods designed to accurately differentiate wide complex tachycardias: The WCT Formula, WCT Formula II, and VT Prediction Model. My forthcoming research works will leverage the diagnostic capabilities of artificial intelligence (AI) technologies to better facilitate the accurate discernment of patients’ underlying heart rhythm and hemodynamic state.