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

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 ...

“I’ll worry about my heart health when I’m older.” That may be too late, doctors warn. While the average age for being diagnosed with heart disease in the United States is typically in the mid-60s for ...

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 simple ECG scan could now predict your risk for heart disease, Alzheimer’s, and cancer before symptoms appear—thanks to AI-powered biological age tracking. Study: Reclassification of the ...

A new 30-year heart risk calculator is reshaping how adults think about cardiovascular health. Designed for people aged 30 to 59, it offers a longer view of potential danger, urging earlier lifestyle ...