Artificial intelligence in cardiology: a narrative review with focus on patient outcomes
AI in cardiology shows promise for improving patient care, but robust evidence linking its adoption to improved clinical outcomes is limited. By synthesizing available findings, this review highlights critical evidence gaps and provides guidance for future research, which should prioritize prospective trials focused on patient-centered endpoints and address barriers to implementation, transparency, and equity.
Authors
- Bavana V. Rangan (ORCID: https://orcid.org/0000-0003-3284-8332)
- Olga Mastrodemos
- Dimitrios Strepkos (ORCID: https://orcid.org/0000-0001-6623-1715)
- Michaella Alexandrou (ORCID: https://orcid.org/0000-0002-9549-0748)
- Pedro E. P. Carvalho
- Ippokratis Konstantinidis
- Yader Sandoval
- Harmanpreet Kaur
- Emmanouil S. Brilakis
- Eleni Kladou
- Jose Manuel Orenday
Institutions
- Abbott Northwestern Hospital (US)
- Yale New Haven Hospital (US)
- Harlem Hospital Center (US)
- Minneapolis Heart Institute Foundation (US)
Publication Details
- Journal
- Cardiovascular Diagnosis and Therapy
- Published
- 2026-02-01
- DOI
- https://doi.org/10.21037/cdt-2025-479
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- American Heart Association
- Minneapolis Heart Institute
- Minneapolis Heart Institute Foundation
- Boston Scientific Corporation
- Abbott Vascular