Comparison of Artificial Intelligence Automated Quantification and Visual Assessment in Optical Coherence Tomography Images (CONTEST)
AI-quantified assessments tended to overestimate calcium presence and parameters compared to visual assessments. However, vessel sizes demonstrated excellent correspondence. Strategies were similarly developed based on both assessments.
Authors
- Taichi Mukai
- Naotaka Okamoto (ORCID: https://orcid.org/0000-0002-0228-679X)
- Ayako Sugino (ORCID: https://orcid.org/0009-0009-4324-0075)
- Shodai Kawanami
- Yasuyuki Egami (ORCID: https://orcid.org/0000-0001-9728-6524)
- Masamichi Yano (ORCID: https://orcid.org/0000-0003-4578-7700)
- Subaru Fujii
- Yasuharu Matsunaga‐Lee (ORCID: https://orcid.org/0000-0002-4775-8914)
- Hiroaki Nohara (ORCID: https://orcid.org/0009-0007-5781-3546)
- Masami Nishino (ORCID: https://orcid.org/0000-0003-0309-7023)
- Masaru Abe
- Noriyuki Kobayashi
- Koji Yasumoto
- Kise Mikako
Institutions
- Osaka Rosai Hospital (JP)
Publication Details
- Journal
- Catheterization and Cardiovascular Interventions
- Published
- 2025-09-09
- DOI
- https://doi.org/10.1002/ccd.70157
- Primary Topic
- Coronary Interventions and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00