According to the Centers for Disease Control, an estimated 2.7 to 6.1 million people in the U.S. have Atrial Fibrillation, the most common type of an irregular heartbeat. To help distinguish between harmless rhythm irregularities and a life-threatening condition, researchers from Stanford University, UCSF, and Rhythm Technologies developed a deep learning-based system that can automatically

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