Cardiogram co-founder Brandon Ballinger detailed preliminary results of the study, which used data from 14,000 Apple Watch wearers. These results are part of the larger DeepHeart study with UC San Francisco.
Here are four things to know.
1. The study used the watch’s heart rate sensors to monitor participants’ heart rates. It then analyzed the data with an algorithm rooted in artificial intelligence.
2. According to a 2015 Framingham Heart Study, resting heart rate and heart rate variability are able to predict incident diabetes and hypertension.
3. The watch accurately detected diabetes in 462 study participants.
4. Previously, Mr. Ballinger and his team used the Apple Watch to detect an abnormal heart rhythm with up to a 97 percent accuracy, sleep apnea with a 90 percent accuracy and hypertension with an 82 percent accuracy when paired with Cardiogram’s algorithm.
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