Development and validation of a deep-learning algorithm for rule-in and rule-out coronary artery disease based on electrocardiogram without evidence of myocardial ischemia
Our algorithm based on ECG without myocardial ischemia evidence performed good in CAD detection. An algorithm-based decision-making protocol could achieve the guideline-recommended performance in guiding rule-out or rule-in for further examination.
Authors
- Juntong Zeng (ORCID: https://orcid.org/0000-0003-1235-3180)
- Xiangyang Ji (ORCID: https://orcid.org/0000-0002-7333-9975)
- Zhe Zheng (ORCID: https://orcid.org/0000-0002-9162-6492)
- Chang Liu (ORCID: https://orcid.org/0000-0002-7318-1004)
- Xuexin Yu (ORCID: https://orcid.org/0009-0001-8151-1210)
- Mengnan Shi (ORCID: https://orcid.org/0009-0001-2648-0765)
- Yan Daniel Zhao (ORCID: https://orcid.org/0000-0003-3448-0527)
- Xin Jin (ORCID: https://orcid.org/0000-0003-2211-2006)
- Y. Yue
- Xiaocong Lian (ORCID: https://orcid.org/0000-0003-3917-5273)
- Xiaoqi Wang
- Shen Lin
- Xiangqian Zhu (ORCID: https://orcid.org/0009-0002-1072-3459)
- Runchen Sun
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- National Clinical Research Center for Digestive Diseases (CN)
- Fu Wai Hospital (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- IJC Heart & Vasculature
- Published
- 2025-08-18
- DOI
- https://doi.org/10.1016/j.ijcha.2025.101772
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00