According to the American Heart Association, at least 2.7 million people in the United States suffer from Atrial fibrillation. The condition results in a quivering or irregular heartbeat that can lead to blood clots, stroke, heart failure, and other compilations. To detect possible signs of reappearance after treatment, researchers from the University of Utah developed an end-to-end deep learning��
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