Smartwatch ECG and artificial intelligence in detecting acute coronary syndrome compared to traditional 12-lead ECG
AI-ECG scores from standard and smartwatch-based ECGs showed high concordance with comparable diagnostic performance in differentiating ACS-O(+) and ACS-O(-). With increasing accessibility smartwatch accessibility, they may hold promise for aiding ACS diagnosis, regardless of location.
Authors
- Youngjin Cho (ORCID: https://orcid.org/0000-0001-8106-3713)
- Il‐Young Oh (ORCID: https://orcid.org/0000-0002-5584-605X)
- Joonghee Kim (ORCID: https://orcid.org/0000-0001-5080-7097)
- Ciro Indolfi (ORCID: https://orcid.org/0000-0003-1241-6487)
- Carmen Spaccarotella (ORCID: https://orcid.org/0000-0003-1825-0510)
- Giovanni Esposito (ORCID: https://orcid.org/0000-0003-0565-7127)
- Jina Choi (ORCID: https://orcid.org/0000-0002-7297-4256)
Institutions
- Seoul National University Bundang Hospital (KR)
- Korea Telecom (South Korea) (KR)
- University of Calabria (IT)
- University of Naples Federico II (IT)
Publication Details
- Journal
- IJC Heart & Vasculature
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1016/j.ijcha.2024.101573
- Citations
- 10
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 4.02
Funders
- Ministry of Health and Welfare
- Korea Health Industry Development Institute
- Ministry of SMEs and Startups