Using artificial intelligence to study atherosclerosis, predict risk and guide treatments in clinical practice
The AI-assisted analysis of CT imaging data can revolutionize CVD prevention; the integration of patient’s risk factor profile, quantitative metrics of coronary plaques and the coronary inflammatory burden using AI, allow accurate prediction of future cardiovascular events, and can guide prevention strategies.
Read more
June 2023
Clinical quantitative coronary artery stenosis and coronary atherosclerosis imaging: a Consensus Statement from the Quantitative Cardiovascular Imaging Study Group
Abstract The detection and characterization of coronary artery stenosis and atherosclerosis using imaging tools are key for clinical decision-making in…
Read more
March 2023
Inflammation and cholesterol as predictors of cardiovascular events among patients receiving statin therapy
In these contemporary data from 31 245 patients who are receiving statin therapy, residual inflammatory risk appears to be more…