Point-of-care AI · Active
All researchIn-hospital deterioration: wearable monitoring
A wearable-based deep learning model using just 9 physiological inputs predicts clinical deterioration up to 17 hours before onset, enabling earlier intervention. Funded by a 4-year, $3.1M NIH grant, the model generalizes across a range of adverse outcomes, including rapid response calls, unplanned ICU transfers, intubations, and in-hospital deaths, and demonstrated 81.8% accuracy across 888 inpatient visits.
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Point-of-care AIDivision of Health AI
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