Apple’s Watch can detect an abnormal heart rhythm with 97% accuracy, UCSF study says | TechCrunch

Later in the article: "Atrial fibrillation, the most common abnormal heart rhythm, causes 1 in 4 strokes. Ballinger says two-thirds of those types of strokes are preventable with relatively inexpensive drugs."

"According to a study conducted through heartbeat measurement app Cardiogram and the University of California, San Francisco, the Apple Watch is 97 percent accurate in detecting the most common abnormal heart rhythm when paired with an AI-based algorithm.

The study involved 6,158 participants recruited through the Cardiogram app on Apple Watch. Most of the participants in the UCSF Health eHeart study had normal EKG readings. However, 200 of them had been diagnosed with paroxysmal atrial fibrillation (an abnormal heartbeat). Engineers then trained a deep neural network to identify these abnormal heart rhythms from Apple Watch heart rate data."

Apple’s Watch can detect an abnormal heart rhythm with 97% accuracy, UCSF study says | TechCrunch