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 ...

Machine learning sharpens CAD prediction but falls short in detecting plaques most likely to cause cardiac events in patients ...

SENSE, a nationwide artificial intelligence (AI) initiative to interpret cardiac imaging scans in minutes, aiding early detection and prediction of coronary artery disease SENSE, a nationwide ...

A deep learning algorithm that only uses data from mammogram images along with age may predict major cardiac events as accurately as traditional cardiovascular risk calculators, new data suggest. 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 ...

The findings, published June 25 in JAMA Cardiology, showed the PREVENT equations accurately predicted CVD, atherosclerotic CVD (ASCVD) and heart failure events across broad, self-identified Asian and ...

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...