By Nancy Lapid, Reuters
Photo: RNZ
Artificial intelligence can use brain recordings from a single night in a sleep lab to predict a person's risk of developing more than 100 health conditions, researchers say.
Known as SleepFM, the AI model was trained on more than half a million hours of sleep data collected via polysomnography from 65,000 participants.
Polysomnography is considered the gold-standard overnight sleep exam that uses various sensors to record brain activity, heart activity, respiratory signals, body movements, eye movements and other data.
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