Applying Artificial Intelligence in Medicine: Our Early Results

blog.cardiogr.am

Two quotes:

One year ago, we teamed up with UCSF Cardiology to start the mRhythm study, which 6,158 Cardiogram users enrolled in. Cardiogram trained a deep neural network on the Apple Watch’s heart rate readings and was able to obtain an AUC of 0.97, enabling us to detect atrial fibrillation with 98.04% sensitivity and 90.2% specificity.
The most promising finding of our study is that consumer-grade wearables can be used to detect disease.

Hardware and algorithm improvements in wearables will be tightly coupled, and it only takes a couple of consumer-grade successes to get the flywheel started.

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