In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous ...

Cardiologists often struggle to assess heart attack risk. New startups using AI could help.

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 ...

A new approach to a routine blood test could predict a person’s 30-year risk of heart disease, research published Saturday in the New England Journal of Medicine found. Doctors have long assessed ...