Results of a new clinical study showed Philips/Cardiologs’ deep learning artificial intelligence algorithm can predict the short-term risk of atrial fibrillation based on 24-hour Holter monitor recordings, even when there are no visible signs of impending atrial fibrillation in the electrocardiogram (ECG) recordings.
Jagmeet Singh of Massachusetts General Hospital in Boston presented the results of the study as a poster at the American College of Cardiology
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