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 ...

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

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 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 ...

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

Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The system analyzes detailed physiological signals, looking for hidden patterns ...