According to a new study published this morning in Nature, an algorithm trained via a deep neural network has been able to perform on par with board-certified cardiologists at the annotation of 12 different types of heart rhythms.
Researchers from Stanford University and iRhythm collaborated for the study, which detailed an algorithm trained on 91,232 30-second single-lead ECG readings from 53,...
