US EditionResearchers trained a health AI with 3M days of Apple Watch data
The JETS model achieved an AUROC of up to 86.8% predicting conditions like high blood pressure using self-supervised learning on 3 million person-days of Apple Watch data.
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5 Articles
A new study uses a large set of Apple Watch data to identify disease risks with AI. The results appear to be extremely promising.
It's a study that should have the effect of a bomb: a team of researchers from MIT and Empirical Health managed to turn irregular data from Apple Watch into a powerful predictive model to detect diseases. By analyzing nearly 3 million days of data from 16,522 volunteers, scientists [...] Read more... Follow iPhoneAddict.fr on Facebook, and follow us on Twitter Don't forget to download our free iAddict app for iPhone and iPad (link App Store) App…
Two wrists, a small watch, and at the end of the day a huge database is starting to speak very loudly. Behind these figures, a simple question is already hovering over the medical offices: how far can an Apple Watch help identify diseases before they do too much damage?
Researchers used 3 million days of Apple Watch data to train a disease-detection AI
A new study by researchers from MIT and Empirical Health used 3 million person-days of Apple Watch data to develop a foundation model that predicts medical conditions with impressive accuracy. Here are the details. more . . .
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