Deep learning model for identifying significant tricuspid regurgitation using standard 12-lead electrocardiogram
Implementing the DL model for ECG interpretation could facilitate the diagnosis of significant TR. However, the clinical utility of this DL model requires further validation and exploration.
Authors
- Chih-Hsueh Tseng
- Ruey‐Hsing Chou (ORCID: https://orcid.org/0000-0003-2081-8419)
- Ming‐Tsung Hsieh (ORCID: https://orcid.org/0000-0003-4369-3380)
- Chun Chin Chang (ORCID: https://orcid.org/0000-0003-2799-1185)
- Wei‐Ming Huang (ORCID: https://orcid.org/0000-0002-3709-1095)
- Po‐Hsun Huang (ORCID: https://orcid.org/0000-0003-1584-6749)
- Yin-Hao Lee
- Chin-Sheng Lin
Institutions
- Tri-Service General Hospital (TW)
- National Yang Ming Chiao Tung University (TW)
- Taipei Veterans General Hospital (TW)
- E-Da Hospital (TW)
- Taipei City Hospital (TW)
- I-Shou University (TW)
Publication Details
- Journal
- International Journal of Cardiology Cardiovascular Risk and Prevention
- Published
- 2025-12-02
- DOI
- https://doi.org/10.1016/j.ijcrp.2025.200557
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00