Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The ...

Researchers developed an AI model to detect myocardial ischemia and coronary microvascular and vasomotor dysfunction using ...

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...

SleepFM showed especially strong results for Parkinson’s disease (C-index 0.89), dementia (0.85), hypertensive heart disease ...

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...

Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

Artificial intelligence can use brain recordings from a single night in a sleep lab to predict a person's risk of developing ...

Researchers at Palo Alto, Calif.,-based Stanford Medicine have developed an AI model capable of predicting an individual’s risk of developing more than 100 health conditions using sleep study data.

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

An ongoing study spotlights the link between calcium deposits in the breast arteries and life-threatening heart risks.

Chase Markel, a University of Wyoming Ph.D. student from Wheatland, is harnessing artificial intelligence (AI) to transform ...