Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in ...

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 ...

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

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...

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 ...

A new artificial intelligence model in the US, SleepFM, has found that patterns in human sleep can be used to predict a ...

AI can use sleep data from a single night to identify patterns linked to disease risk years before symptoms appear.

The future of heart disease detection and prevention may have started with an opera singer. When Dr. Joshua Hutcheson heard about how his wife — then a grad student — was studying how subtle changes ...