Image-based ECG analyzing deep-learning algorithm to predict biological age and mortality risks: interethnic validation
An image-based AI-ECG model is a feasible tool for estimating biological age and assessing all-cause and cardiovascular mortality risks, providing a practical approach for utilizing standardized ECG images in predicting long-term health outcomes.
Authors
- Youngjin Cho (ORCID: https://orcid.org/0000-0001-8106-3713)
- Joonghee Kim (ORCID: https://orcid.org/0000-0001-5080-7097)
- Se Young Jung (ORCID: https://orcid.org/0000-0001-9946-8807)
- Yeonyee Elizabeth Yoon (ORCID: https://orcid.org/0000-0002-8479-9889)
- Ji Soo Kim (ORCID: https://orcid.org/0000-0002-5017-3554)
Institutions
- Seoul National University (KR)
- New Generation University College (ET)
- Seoul National University Bundang Hospital (KR)
Publication Details
- Journal
- Journal of Cardiovascular Medicine
- Published
- 2024-09-12
- DOI
- https://doi.org/10.2459/jcm.0000000000001670
- Citations
- 4
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.61