Kwan AC, McElhinney PA, Tamarappoo BK, et al. - This research was undertaken to test if the machine learning ischemia risk score (ML-IRS) can predict revascularization in patients referred for invasive coronary angiography (ICA) after coronary computed tomography angiography (CCTA). Researchers conducted a post hoc analysis of a prospective dual-center registry of sequential patients undergoing CCTA followed by ICA within 3 months, referred from inpatient, outpatient, and emergency department settings (n = 352, age 63 ± 10 years, 68% male). The primary endpoint included revascularization by either percutaneous coronary revascularization or coronary artery bypass grafting. A total of 352 individuals with 1056 analyzable vessels were included in the study. This study's findings demonstrate that ML-IRS from quantitative coronary CT angiography improved the prognostication of future revascularization and can potentially identify patients likely to receive revascularization if referred to cardiac catheterization.