Integrating male sex, RBBB, and haemoglobin and glucose levels into the HEART score improves its ability to predict significant coronary artery disease on CCTA in the emergency department setting.

Five digital health startups recently graduated from the accelerator programme of the National University of Singapore Yong Loo Lin School of Medicine and 22Health Ventures. Started as a hackathon ...

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 ...

Many people have no idea what their risk is—until it's too late.

People at the University of Colorado Boulder thought Leslie Leinwand had lost her mind when she decided to start studying snakes nearly 20 years ago. It was a research paper that sparked her interest ...

A multi-centre study shows an AI stethoscope analysis can detect valvular heart disease with high accuracy, enabling rapid, ...