Apple Watch detects individuals with diabetes with 85% accuracy

Researchers at the University of California, San Francisco and digital health startup Cardiogram have found the Apple Watch capable of detecting patients with diabetes with 85 percent accuracy.

Using DeepHeart, a deep neural network, the researchers tested the accuracy of the wearable on 14,011 users and found a high accuracy rate in identifying those with diabetes.

“Your heart is connected with your pancreas via the autonomic nervous system. As people develop the early stages of diabetes, their pattern of heart rate variability shifts,” said Johnson Hsieh, one of the founders of Cardiogram. “In 2015, the Framingham Heart Study showed that high resting heart rate and low heart rate variability predicts who will develop diabetes over a 12-year period. In 2005, the ARIC study showed that heart rate variability declines faster in diabetics than non-diabetics over a 9-year period.”

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