Interethnic validation of electrocardiogram image analysis software for detecting left ventricular dysfunction in an emergency department population
ECG Buddy demonstrated superior accuracy compared with NT-ProBNP in predicting LV systolic dysfunction, validating its utility in a US ED population.
Authors
- Kyoung Jun Song (ORCID: https://orcid.org/0000-0002-0027-6352)
- Ji Eun Hwang (ORCID: https://orcid.org/0000-0003-0194-1681)
- You Hwan Jo (ORCID: https://orcid.org/0000-0002-9507-7603)
- Youngjin Cho (ORCID: https://orcid.org/0000-0001-8106-3713)
- Joonghee Kim (ORCID: https://orcid.org/0000-0001-5080-7097)
- Woon Yong Kwon (ORCID: https://orcid.org/0000-0002-3343-5030)
- Young Ho Choi (ORCID: https://orcid.org/0000-0003-3866-1237)
- Haemin Lee
Institutions
- Seoul National University (KR)
- Seoul Metropolitan Government (KR)
- Seoul National University Hospital (KR)
- Seoul National University Bundang Hospital (KR)
- SNUH SMG-SNU Boramae Medical Center (KR)
- CHA University (KR)
- Korea Telecom (South Korea) (KR)
Publication Details
- Journal
- Clinical and Experimental Emergency Medicine
- Published
- 2025-04-30
- DOI
- https://doi.org/10.15441/ceem.24.342
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Seoul National University Bundang Hospital
- Korea Health Industry Development Institute