Diagnostic Performance of AI-Assisted Coronary CT Angiography: A Systematic Review and Meta-Analysis
AI-assisted coronary CT angiography delivers high diagnostic performance for coronary stenosis detection, with strong AUC values, high sensitivity and specificity, and robust diagnostic OR across both per-patient and per-vessel assessments.
Institutions
- Christian Brothers University (US)
- Suez Canal University (EG)
- Tulane University (US)
- Kafrelsheikh University (EG)
- Misr University for Science and Technology (EG)
- Jordan University of Science and Technology (JO)
- Touro College (US)
- SUNY Upstate Medical University (US)
- Benha University (EG)
- University of Tripoli (LY)
- Amiri Hospital (KW)
- Mayo Clinic in Arizona (US)
- Mayo Clinic Hospital (US)
- SRC (US)
- Alexandria University (EG)
Publication Details
- Journal
- European Journal of Radiology
- Published
- 2025-12-14
- DOI
- https://doi.org/10.1016/j.ejrad.2025.112612
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00