Another piece in the puzzle of atrial fibrillation risk: clinical, genetic, and electrocardiogram-based artificial intelligence
Graphical AbstractCurrent concepts and open questions in atrial fibrillation risk assessment. The figure summarizes the concepts investigated in the study by Jabbour et al. and open questions in integrated AF risk estimation. ECG, electrocardiogram; AI, artificial intelligence; AF, atrial fibrillation
Authors
- Shinwan Kany (ORCID: https://orcid.org/0000-0001-8113-733X)
- Shaan Khurshid (ORCID: https://orcid.org/0000-0002-2840-4539)
- Patrick T. Ellinor (ORCID: https://orcid.org/0000-0002-2067-0533)
Institutions
- Broad Institute (US)
- Universität Hamburg (DE)
- Massachusetts General Hospital (US)
- University Medical Center Hamburg-Eppendorf (DE)
- Massachusetts Institute of Technology (US)
Publication Details
- Journal
- European Heart Journal
- Published
- 2024-11-04
- DOI
- https://doi.org/10.1093/eurheartj/ehae691
- Citations
- 9
- Primary Topic
- Atrial Fibrillation Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 3.62
Funders
- American Heart Association
- European Commission
- Deutsche Forschungsgemeinschaft
- National Institutes of Health