AI in Healthcare

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researchStanford Medicine

Stanford's SleepFM Predicts Over 100 Disease Risks from a Single Night's Sleep Data

Stanford Medicine researchers developed SleepFM, an AI model trained on nearly 600,000 hours of sleep data that can predict a person's risk for over 100 health conditions — including Parkinson's, dementia, and cancers — from one night of polysomnography.

sleepdisease-predictionStanforddeep-learning

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