Real-world application of deep learning for ECG-based prediction of coronary artery disease and revascularization needs
The DLM demonstrates ECG's potential as a screening tool for coronary revascularization, enabling opportunistic detection and prompting further evaluation of high-risk patients.
Authors
- Yung‐Tsai Lee (ORCID: https://orcid.org/0000-0002-3928-0164)
- Dung‐Jang Tsai (ORCID: https://orcid.org/0000-0002-5531-0810)
- Chiao‐Chin Lee (ORCID: https://orcid.org/0000-0002-5220-7551)
- Chin‐Sheng Lin (ORCID: https://orcid.org/0000-0002-5167-8327)
- Chiao‐Hsiang Chang (ORCID: https://orcid.org/0000-0003-1607-6512)
- Chin Lin (ORCID: https://orcid.org/0000-0003-2337-2096)
- Wei-Ting Liu (ORCID: https://orcid.org/0000-0002-3817-4079)
- Chun‐Ho Lee (ORCID: https://orcid.org/0000-0001-9646-5715)
Institutions
- National Taipei University of Nursing and Health Science (TW)
- Cheng Hsin General Hospital (TW)
- National Defense Medical Center (TW)
Publication Details
- Journal
- European Heart Journal - Digital Health
- Published
- 2025-08-20
- DOI
- https://doi.org/10.1093/ehjdh/ztaf096
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00