Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may ...

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 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 ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

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 ...

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 ...

Adults with congenital heart disease (CHD) have a persistently high risk for cardiac reoperation, according to a new study.