Artificial intelligence-enhanced six-lead portable electrocardiogram device for detecting left ventricular systolic dysfunction: a prospective single-centre cohort study
The AI-ECG model constructed with the six-lead hand-held portable ECG device effectively identifies LVSD, demonstrating comparable accuracy to that of the conventional 12-lead ECG. This highlights the potential of hand-held portable ECG devices leveraged with AI as efficient tools for early LVSD screening.
Authors
- Hak Seung Lee (ORCID: https://orcid.org/0000-0002-2200-6601)
- Yong‐Yeon Jo (ORCID: https://orcid.org/0000-0002-6755-6850)
- Jong-Hwan Jang (ORCID: https://orcid.org/0000-0003-3392-822X)
- Min Sung Lee (ORCID: https://orcid.org/0000-0001-9247-2432)
- Seung‐Pyo Lee (ORCID: https://orcid.org/0000-0002-5502-3977)
- Sora Kang (ORCID: https://orcid.org/0000-0002-3847-4442)
- Joon‐myoung Kwon (ORCID: https://orcid.org/0000-0001-6754-1010)
- Jeong Min Son (ORCID: https://orcid.org/0000-0001-7744-5735)
- Jaehyun Lim (ORCID: https://orcid.org/0000-0002-9450-5653)
- Ga In Han
Institutions
- Seoul National University (KR)
- New Generation University College (ET)
- Seoul National University Hospital (KR)
- Seoul Medical Center (KR)
- Sejong Institute (KR)
Publication Details
- Journal
- European Heart Journal - Digital Health
- Published
- 2025-03-25
- DOI
- https://doi.org/10.1093/ehjdh/ztaf025
- Citations
- 5
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 6.94