AI-Enabled CT Cardiac Chamber Volumetry Predicts Atrial Fibrillation and Stroke Comparable to MRI
AI-CAC automated LA volumetry and CMRI LA volume measured by human experts similarly predicted incident AF and stroke over 15 years. Further studies to investigate the clinical utility of AI-CAC for AF and stroke prediction are warranted.
Authors
- Claudia I. Henschke (ORCID: https://orcid.org/0000-0002-6085-5305)
- Anthony P. Reeves (ORCID: https://orcid.org/0000-0002-1451-3080)
- Matthew Jay Budoff (ORCID: https://orcid.org/0000-0002-9616-1946)
- Nathan D. Wong (ORCID: https://orcid.org/0000-0003-1102-7324)
- Dong Li (ORCID: https://orcid.org/0000-0002-4347-7015)
- Thomas Atlas
- Kyle Atlas
- Chenyu Zhang (ORCID: https://orcid.org/0000-0002-9799-8772)
- Morteza Naghavi
- David F. Yankelevitz
- Sion Roy
Institutions
- Houston Methodist (US)
- University of California, Irvine (US)
- Cornell University (US)
- Orange County Research Center (US)
- Mount Sinai Hospital (US)
Publication Details
- Journal
- JACC Advances
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1016/j.jacadv.2024.101300
- Citations
- 13
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 5.26