Artificial intelligence-powered automatic coronary computed tomography angiography plaque quantification: comparison against optical coherence tomography
The novel AI-powered method facilitated fully automatic plaque quantification and correlated well with co-registered OCT.
Authors
- Zehang Li (ORCID: https://orcid.org/0000-0002-4264-8409)
- Charalambos Antoniades (ORCID: https://orcid.org/0000-0002-6983-5423)
- Chunming Li (ORCID: https://orcid.org/0000-0003-1187-2835)
- Shengxian Tu
- Yankai Chen
- Miao Chu
- Wei Cai (ORCID: https://orcid.org/0000-0002-2703-4468)
- Yukun Luo
- L L Chen
- Adrian Banning
- Wei Yu
- Zhiqing Wang
- Guanyu Li
- Xiaoling Wang
- Giovanni Luigi De Maria
Institutions
- Shanghai Jiao Tong University (CN)
- Ruijin Hospital (CN)
- Shanghai Mental Health Center (CN)
- University of Oxford (GB)
- Union Hospital (US)
- Union Hospital (CN)
Publication Details
- Journal
- European Heart Journal - Digital Health
- Published
- 2026-02-05
- DOI
- https://doi.org/10.1093/ehjdh/ztag024
- Primary Topic
- Coronary Interventions and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China