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.
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FDA REMS
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CME included with membership
| Heart Rhythm 2025 On Demand – Member | $649 |
| Heart Rhythm 2025 On Demand – Non-Member | $749 |
| Heart Rhythm 365 PLUS Subscription (low end) | $49 |
| Heart Rhythm 365 PLUS Subscription (high end) | $999 |
| Free Content (Health Economics, The Lead, Journal Watch) | Free |
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