Artificial Intelligence Evaluation of Coronary Computed Tomography Angiography
Researchers evaluated AI analysis of coronary CT angiography and its ability to decrease overestimation of coronary artery disease stenosis severity.
Researchers evaluated AI analysis of coronary CT angiography and its ability to decrease overestimation of coronary artery disease stenosis severity.
A post hoc analysis of the ISCHEMIA study evaluated the markers of left main CAD via clinical and noninvasive functional parameters.
Researchers were able to determine the clinical and cost effectiveness of using 2 types of noninvasive imaging software as alternatives to invasive coronary angiography.
Researchers examined whether early CT coronary angiography could improve one-year clinical outcomes for patients at risk for acute coronary syndrome.
Patients with out-of-hospital cardiac arrest without STE had comparable 30-day mortality, neurologic status, and rates of percutaneous coronary intervention when treated with early vs nonearly coronary angiography.
High-risk plaque criteria evaluated on computed tomography angiography were found to provide added value for the prediction of long-term outcomes in patients with coronary artery disease.
Patients with proximal left anterior descending artery stenosis were found to have comparable clinical outcomes when treated with percutaneous coronary intervention in the proximal LAD segment or with nonproximal angioplasty.
Coronary computed tomography angiography may consistently improve coronary heart disease outcomes in individuals with chest pain.
Fractional flow reserve derived from routine coronary angiography may improve coronary lesion assessment.
Coronary computed tomographic angiography was associated with a lower 5-year mortality rate in patients with stable chest pain.