A Stanford AI model trained on nearly 600,000 hours of sleep data can assess future risk for dementia, heart disease and more ...

A new international study led by researchers from UNSW Sydney's Center for Healthy Brain Aging (CHeBA) has developed the ...

A novel model predicts functional independence post-stroke using stroke severity, frailty, intervention timing, and thrombolysis use, achieving 93% accuracy. Carotid endarterectomy and carotid artery ...

A multimodal sleep foundation model based on polysomnography data can predict the risk for multiple conditions, including dementia.

Intraoperative hypotension and disseminated cancer are independent predictors of postoperative stroke in patients receiving cancer surgery.

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...