AI Reads Whole Coronary Angiograms and Predicts Heart Risk a Year Ahead
A video-text AI model trained on over 200,000 angiography videos detects obstructive coronary stenosis, identifies occlusions, thrombus and calcification, and ...
A video-text AI model trained on over 200,000 angiography videos detects obstructive coronary stenosis, identifies occlusions, thrombus and calcification, and ...
A prospective study found that an AI-enhanced 12-lead ECG score accurately identified angiographically significant coronary artery disease in patients undergoing ...
Genetic variants in the heat-resistant obscure chaperone protein Hero11, encoded by C19orf53, are associated with coronary artery disease risk and ...
A new ten-year study of nearly 400 angiographically confirmed coronary artery disease patients shows that the profibrotic protein HE4 independently ...
A new path analysis of 266 coronary artery disease patients shows that cardiac self-efficacy fully mediates the link between patient ...
A head-to-head study of 155 patients found coronary CT angiography detected nearly all significant coronary blockages with 96 percent sensitivity, ...
A nine-year study of 1,385 patients shows AI-quantified coronary plaque burden predicts cardiovascular events across all timeframes, while PET-measured blood ...
A study of 1,007 patients shows that quantitative myocardial blood flow and flow reserve measured by dynamic CZT-SPECT independently predict ...
A new Bayesian method called genetic factor analysis decomposes genome-wide association data into shared pleiotropic factors, revealing the hidden genetic ...
A proteome-wide genetic study identifies the liver protein ASGR1 as a potential causal link between smoking and ischemic heart disease ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine