Public health surveillance traditionally depends on centralizing large volumes of health data, an approach that raises ethical and logistical concerns regarding patient privacy, data ownership, and ...

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 ...

Researchers at the University of Alabama at Birmingham now show a way to significantly cut the time needed for that analysis while utilizing more of the heart region, using deep learning and ...

A combined analysis of blood tests to measure three biomarkers linked to higher risk of cardiovascular disease-lipoprotein a ...