Sex-specific cardiovascular risk prediction using AI-derived epicardial adipose tissue measurements on CT calcium scoring exams
Sex-specific risk models incorporating epicardial fat-omics from CTCS improve risk prediction in females and equity in cardiovascular risk assessment.
Authors
- Sanjay Rajagopalan (ORCID: https://orcid.org/0000-0001-6669-8163)
- Sadeer G Al-Kindi (ORCID: https://orcid.org/0000-0002-1122-7695)
- Ammar Hoori (ORCID: https://orcid.org/0000-0002-8458-1214)
- David L. Wilson (ORCID: https://orcid.org/0000-0001-9763-1463)
- Prerna Singh (ORCID: https://orcid.org/0000-0002-8429-5701)
- Tao Hu (ORCID: https://orcid.org/0009-0002-6661-2723)
Institutions
- Houston Methodist (US)
- University Hospitals of Cleveland (US)
- Case Western Reserve University (US)
Publication Details
- Journal
- American Journal of Preventive Cardiology
- Published
- 2025-12-08
- DOI
- https://doi.org/10.1016/j.ajpc.2025.101367
- Citations
- 1
- Primary Topic
- Cardiovascular Disease and Adiposity
- Type
- article
- Field-Weighted Citation Impact
- 1.39