FIU Researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction. The future of heart ...
A new artificial intelligence model in the US, SleepFM, has found that patterns in human sleep can be used to predict a ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The ...
Morning Overview on MSN
Stanford AI can flag disease risk after just 1 night of sleep
Stanford researchers say a single night in a sleep lab may soon double as a full‑body health scan, with artificial ...
News-Medical.Net on MSN
AI model can predict a person's disease risk using sleep data
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 ...
News-Medical.Net on MSN
AI trained on sleep data predicts future disease and mortality years in advance
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback