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.
- Provider:Heart Rhythm Society
- Activity Link: https://www.heartrhythm365.org/Public/Catalog/Details.aspx?id=ZZaNDca2N40G018Zi30fxg%3d%3d&returnurl=%2fUsers%2fUserOnlineCourse.aspx%3fLearningActivityID%3dZZaNDca2N40G018Zi30fxg%253d%253d
- Start Date: 2023-12-08 06:00:00
- End Date: 2023-12-08 06:00:00
- Credit Details: AMA PRA Category 1 Credit™️: 0.25 hours
- MOC Credit Details: ABIM - 0.25 Point; Credit Type(s): Medical Knowledge (ABIM)
ABP - 0.25 Point; Credit Type(s): Lifelong Learning and Self-Assessment (ABP) - Commercial Support: No
- Activity Type: Enduring Material
- CME Finder Type: Online Learning
- Fee to Participate: No, it's free
- Measured Outcome: Learner Competence
- Provider Ship: Directly Provided
- Registration: Open to all
- Specialty: Clinical Cardiac Electrophysiology, Pediatric Cardiology
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