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Newly developed algorithm diagnoses cardiac arrhythmias with the accuracy of cardiologists

An algorithm developed by researchers from the Stanford Machine Learning Group is able to detect arrhythmias better than certified cardiologists who specialize in the task. After a long process of training the model, it is able to diagnose the potentially deadly abnormal heart rhythms using electrocardiogram (ECG) signals collected from a continuous heart monitoring device manufactured by iRhythm Technologies.