The Lead Podcast - Episode 40

William H. Sauer, MD, FHRS, CCDS, of Brigham and Women's Hospital is joined by guests Michael A. Rosenberg, MD, FHRS, of University of Colorado Anschutz, and Jagmeet P. Singh, MD, PhD, FHRS, of Massachusetts General Hospital to discuss early detection of atrial fibrillation (AF) may help prevent adverse cardiovascular events such as stroke. Deep learning applied to electrocardiograms (ECGs) has been successfully used for early identification of several cardiovascular diseases. Deep learning of outpatient sinus rhythm ECGs predicted AF within 31 days in populations with diverse demographics and comorbidities. Similar models could be used in future AF screening efforts to reduce adverse complications associated with this disease.   https://www.hrsonline.org/education/TheLead https://jamanetwork.com/journals/jamacardiology/article-abstract/2810388   Host Disclosure(s): W. Sauer: Honoraria/Speaking/Consulting Fee: Biotronik, Biosense Webster, Inc., Abbott, Boston Scientific; Research (Contracted Grants for PIs Named Investigators Only): Medtronic   Contributor Disclosure(s): M. Rosenberg: No relevant financial relationships with ineligible companies to disclose.  J. Singh: Honoraria/Speaking/Consulting Fee: Medtronic, EBR Systems, Boston Scientific, Biotronik, Abbot, MicroPort Scientific Corporation, Cardiologs, Sanofi, CVRx Inc., Impulse Dynamics, USA, Implicity, Orchestra Biomed, Rhythm Management Group Corp, Medscape, Biosense Webster Inc., Notal Vision, iRhythm Technologies, Philips