June 14, 2012 (Rotterdam, the Netherlands) — An international group of researchers has developed what they say is an improved model for predicting the presence of coronary artery disease (CAD) in ...

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.

There is an emerging convergence between atherosclerotic cardiovascular disease and cancer, driven by shared risk factors and overlapping pathophysiologic mechanisms. Traditional factors, such as ...

CVCT 2025: Cleerly Late-Breaking Science Identifies Thresholds of High Plaque Burden in Non-Obstructive CAD that May Carry Greater Risk Than Obstructive Disease Sixth late-breaking presentation from ...

Please provide your email address to receive an email when new articles are posted on . Researchers used AI to develop improved risk stratification tools for atherosclerotic CVD. The nomograms provide ...

Investigators from Mass General Brigham analyzed data from nearly 4,300 stable outpatients with chest pain and no known prior CAD and found that, although women had smaller plaque volumes and fewer ...

Coronary artery disease (CAD) is the most common cause of death globally. In CAD, plaques composed of cholesterol, fats, calcium and other compounds accumulate and create obstructions in the coronary ...

Please provide your email address to receive an email when new articles are posted on . AI-assisted coronary CT was more predictive of major CV events vs. standard risk scores for patients referred ...

Over the past 15 years, researchers have identified hundreds of regions in the human genome associated with heart attack risk. However, researchers lack efficient ways to explore how these genetic ...

A new study shows that measuring coronary inflammation with PCAT can spot early heart disease in young adults, even when standard calcium scans show nothing. This breakthrough could change how we ...