An algorithm to diagnose heart arrhythmias with cardiologist-level accuracy
To speed diagnosis and improve treatment for people in rural locations, Stanford University researchers have developed a deep learning algorithm can diagnose 14 types of heart rhythm defects better than cardiologists.
The algorithm can sift through hours of heart rhythm data generated by some wearable monitors to f...
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