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.
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