Apples Watch can detect an abnormal heart rhythm with 97% accuracy, UCSF study says

May 12, 2017

According to a study conducted through heartbeat measurement app Cardiogram tested the deep neural network it had built against 51 in-hospital cardioversions (a procedure that restores the hearts normal rhythm) and says it achieved a 97 percent accuracy in the neural networks ability to find irregular heart activity. So far this is just a study built on a preliminary algorithm but it holds promise in trying to identify and prevent…

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