Dr. Noseworthy explores the application of ML approaches to interpretation of the 12-lead ECG, one of the most commonly performed tests in clinical medicine. He will describe the approaches that are enabling clinicians to streamline clinical care by augmenting human workflows as well as “see beyond” human capacity to bring new value to the ECG. In addition, he will discuss how these technologies are being deployed through the electronic medical record and tested with prospective clinical trials.
Peter Noseworthy, MD is a Professor of Medicine, a Cardiac Electrophysiologist, and the director of a newly-developed an externally-facing cardiovascular services line at Mayo Clinic. He joined the Mayo Clinic faculty in 2013 after completing his internal medicine, cardiology, chief residency, and electrophysiology training at Massachusetts General Hospital in Boston, MA. Dr. Noseworthy maintains a federally funded research program centered on improving the care of patients with cardiac arrhythmias. He also serves as the director of the Mayo Clinic Heart Rhythm and Physiologic Monitoring Laboratory where he leads a multidisciplinary team working to develop novel ECG software-based analysis tools.