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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.
Cardiogram began the study with UCSF in 2016 to discover whether the Apple Watch could detect an oncoming stroke. About a quarter of strokes are caused by an abnormal heart rhythm, according to Cardiogram co-founder and data scientist for UCSF's eHeart study Brandon Ballinger.
Yes, but can the Apple Watch then pace you or shock you?
(Score: 0) by Anonymous Coward on Sunday May 14 2017, @06:07PM
Original AC here. Thanks for digging into the actual numbers from TFA, they don't make it any better. ;)
So beware of the tests! As parent said: 'The problem with such tests is that they end up worrying a large number of people who don't have any problem at all.'
This automatically happens whenever a rare condition is tested (e. g., when the condition is significantly rarer than 1 in 2 people, say, 10 % and lower) and with a specificity only in the nineties—99.9 % and each more significant digit raises the bar, but which test/cheap screening gets that good?