Deep learning algorithm for detection of acute heart failure using standard ECG waveforms
The proposed deep learning models demonstrated remarkable performance in diagnosing acute HF. These findings support its potential utility in facilitating early diagnosis and improving clinical outcomes.
Authors
- Myung‐Hee Shin (ORCID: https://orcid.org/0000-0002-0509-286X)
- Myung Jin Chung (ORCID: https://orcid.org/0000-0002-6271-3343)
- Jin‐Oh Choi (ORCID: https://orcid.org/0000-0002-2441-2267)
- Darae Kim (ORCID: https://orcid.org/0000-0003-3284-0904)
- Tae Young Kim
- S. Lee (ORCID: https://orcid.org/0009-0003-7088-8113)
Institutions
- Samsung Medical Center (KR)
- Sungkyunkwan University (KR)
Publication Details
- Journal
- European Heart Journal - Digital Health
- Published
- 2025-11-07
- DOI
- https://doi.org/10.1093/ehjdh/ztaf132
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00