Cardiologist user experience of artificial intelligence-based quantitative coronary angiography
This prospective study showed that automated analysis with AI-QCA can be performed with an acceptable user experience as well as minimal human intervention and little additional time. Therefore, the application of AI-QCA in the Cath lab is feasible and potentially helpful during coronary angiography (CAG) and intervention.
Authors
- Jun Hwan Cho (ORCID: https://orcid.org/0000-0003-2158-8272)
- Si-Hyuck Kang
- Y J Kim
- In Tae Moon (ORCID: https://orcid.org/0000-0002-3847-0150)
- Jung Hee Lee (ORCID: https://orcid.org/0000-0002-2771-659X)
- Jang Hoon Lee (ORCID: https://orcid.org/0000-0001-5298-277X)
- Hyuck-Jun Yoon
- Sang Yeub Lee
- Jon Suh
- Ho-Jun Jang
- Donghoon Han
- Ohchul Kwon
Institutions
- Yonsei University (KR)
- Severance Hospital (KR)
- Kyungpook National University Hospital (KR)
- Seoul National University Bundang Hospital (KR)
- Kangnam Sacred Heart Hospital (KR)
- Wonju Severance Christian Hospital (KR)
- Sejong General Hospital (KR)
- Keimyung University (KR)
- Bucheon University (KR)
Publication Details
- Journal
- Cardiovascular Diagnosis and Therapy
- Published
- 2025-12-01
- DOI
- https://doi.org/10.21037/cdt-2025-269
- Primary Topic
- Qualitative Comparative Analysis Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00