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 ...

The National Heart Centre Singapore is set to pilot a new AI-powered solution for rapid coronary artery disease prediction. SENSE (Singapore Heart Lesion Analyser) is a machine learning-driven system ...

Stanford researchers say a single night in a sleep lab may soon double as a full‑body health scan, with artificial ...

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