Machine Learning Algorithm Outperforms Cardiologists Reading EKGs

Machine Learning Algorithm Outperforms Cardiologists Reading EKGs

Source: Thinkstock - A machine learning algorithm leveraging a multi-layered convolutional neural network exceeds the performance of human cardiologists when detecting a range of abnormal readings from standard electrocardiograms. Developed at Stanford, the algorithm was able to identify 12 heart conditions such as atrial fibrillation, complete heart block, and ectopic atrial rhythm (EAR) with greater sensitivity and precision than board-certified physicians.