We read with great interest the recent meta-analysis by Yan et al., which comprehensively evaluates the diagnostic performance of coronary computed tomography angiography (CCTA)–based artificial intelligence (AI) systems for detecting ≥ 50 % coronary stenosis at both patient and vessel levels [1]. By rigorously adhering to PRISMA-DTA standards and disentangling patient-level from vessel-level evidence, the authors address a critical methodological limitation present in prior meta-analyses and pr…