University of Leicester researchers' AI tool, VA-ResNet-50, accurately detected deadly heart rhythms in 80% of cases using Holter ECGs.

A new AI tool developed by researchers at the University of Leicester has accurately detected deadly heart rhythms (ventricular arrhythmia) 80% of the time, according to a study published in the European Heart Journal - Digital Health. The AI tool, called VA-ResNet-50, examined Holter electrocardiograms (ECGs) of 270 adults taken during their normal daily routine at home and was able to predict the risk of lethal heart rhythm with 80% accuracy.

March 28, 2024
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