Prospective AI - ECG Trials

Prospective AI - ECG Trials Guest: Peter A. Noseworthy, M.D. (@noseworthypeter) Hosts: Anthony H. Kashou, M.D. Mayo Clinic specialists use artificial intelligence (AI)-augmented electrocardiogram (ECG) algorithms to assess ejection fraction, atrial fibrillation, aortic stenosis, comprehensive ECG interpretation; and more. Clinical trials help determine where and how the algorithms can best be used in patient care. Joining us today to discuss AI-augmented ECG algorithms prospective clinical trials is Peter A. Noseworthy, M.D., a cardiac electrophysiologist and director of the Heart Rhythm and Physiological Monitoring Laboratory at Mayo Clinic in Rochester, Minnesota. Specific topics discussed: Next steps to ensure AI-augmented ECG algorithms reach clinical practice Current use of AI-augmented ECG algorithms at Mayo Clinic Models that have performed well and models that have not How to measure and evaluate each model's success What the clinical trials design looks like Feedback obtained from providers using the tool Rigorous evaluation required Connect with Mayo Clinic's Cardiovascular Continuing Medical Education online at https://cveducation.mayo.edu or on Twitter @MayoClinicCV and @MayoCVservices. Facebook: MayoCVservices LinkedIn: Mayo Clinic Cardiovascular Services NEW Cardiovascular Education App:The Mayo Clinic Cardiovascular CME App is an innovative educational platform that features cardiology-focused continuing medical education wherever and whenever you need it. Use this app to access other free content and browse upcoming courses. Download it for free in Apple or Google stores today! No CME credit offered for this episode. Podcast episode transcript found here.