Randomized Controlled Trials Evaluating Artificial Intelligence in Cardiovascular Care
This review highlights AI's potential to enhance cardiovascular care through improved early detection, diagnostic accuracy, and resource efficiency. However, the limited number of RCTs indicates a need for more high-quality studies to validate AI's effectiveness across various clinical domains.
Authors
- Michal Shelly
- Eyal Klang (ORCID: https://orcid.org/0000-0002-4567-3108)
- Dor Hadida Barzilai (ORCID: https://orcid.org/0000-0002-9023-2862)
- Eyal Zimlichman (ORCID: https://orcid.org/0000-0002-6276-9937)
- Gal Goshen
- Israel M. Barbash (ORCID: https://orcid.org/0000-0002-7416-5989)
- Karin Sudri (ORCID: https://orcid.org/0000-0002-5118-8619)
Institutions
- Sheba Medical Center (IL)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- JACC Advances
- Published
- 2025-09-25
- DOI
- https://doi.org/10.1016/j.jacadv.2025.102152
- Citations
- 5
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 3.27