Artificial intelligence–derived electrocardiographic aging and risk of atrial fibrillation: a multi-national study
The AI-derived ECG aging was associated with the risk of new- and early-onset AF, suggesting its potential utility to identify individuals for AF prevention across diverse populations.
Authors
- Paul A. Friedman (ORCID: https://orcid.org/0000-0001-5052-2948)
- Jae‐Sun Uhm (ORCID: https://orcid.org/0000-0002-1611-8172)
- Zachi Itzhak Attia (ORCID: https://orcid.org/0000-0002-9706-7900)
- Boyoung Joung (ORCID: https://orcid.org/0000-0001-9036-7225)
- Hui‐Nam Pak (ORCID: https://orcid.org/0000-0002-3256-3620)
- Moon‐Hyoung Lee (ORCID: https://orcid.org/0000-0002-7268-0741)
- Seng Chan You (ORCID: https://orcid.org/0000-0002-5052-6399)
- Daehoon Kim (ORCID: https://orcid.org/0000-0002-9736-450X)
- Seunghoon Cho (ORCID: https://orcid.org/0009-0008-1276-0556)
- Hee Tae Yu (ORCID: https://orcid.org/0000-0002-6835-4759)
- Sujeong Eom (ORCID: https://orcid.org/0000-0001-8351-6894)
- Pil‐Sung Yang (ORCID: https://orcid.org/0000-0002-6552-1742)
- Tae‐Hoon Kim (ORCID: https://orcid.org/0000-0003-4200-3456)
- Eunjung Lee (ORCID: https://orcid.org/0000-0002-6476-9527)
Institutions
- Yonsei University (KR)
- Severance Hospital (KR)
- Mayo Clinic in Arizona (US)
- CHA University Bundang Medical Center (KR)
- Gangnam Severance Hospital (KR)
- CHA University (KR)
Publication Details
- Journal
- European Heart Journal
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1093/eurheartj/ehae790
- Citations
- 23
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 9.25
Funders
- Chapman University
- National Research Foundation
- Yonsei University
- Korea Health Industry Development Institute
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea
- Yonsei University College of Medicine