Comparing guideline adherence and readability: Artificial intelligence with deep learning versus specialized physicians in peripheral artery disease management
LLM showed comparable guideline adherence to physicians although CoT models achieved the highest scores. The difference in physician and AI treatment preferences suggest the potential of AI as adjunct clinical tools and warrants further study.
Authors
- Mario Alejandro Fabiani (ORCID: https://orcid.org/0000-0002-8548-6833)
- August Ysa (ORCID: https://orcid.org/0000-0002-5519-3300)
- Mauricio Gonzalez‐Urquijo (ORCID: https://orcid.org/0000-0001-5101-1541)
- Oliver Antonio Gómez-Gutiérrez (ORCID: https://orcid.org/0000-0001-9456-8366)
- Diego Herrera Vegas (ORCID: https://orcid.org/0000-0001-7669-2988)
- Manuel García-Toca (ORCID: https://orcid.org/0000-0002-6146-9625)
- Oscar A. De la Torre (ORCID: https://orcid.org/0009-0001-1795-3313)
- Alfredo Verastegui (ORCID: https://orcid.org/0000-0002-7243-4663)
- Regina Castaneda (ORCID: https://orcid.org/0009-0008-4735-6609)
Institutions
- Grady Memorial Hospital (US)
- Pontificia Universidad Católica de Chile (CL)
- Jacksonville College (US)
- Hospital de Cruces (ES)
- Centro de Educación Médica e Investigaciones Clínicas Norberto Quirno (AR)
- Mayo Clinic in Florida (US)
- Tecnológico de Monterrey (MX)
Publication Details
- Journal
- Vascular Medicine
- Published
- 2025-12-18
- DOI
- https://doi.org/10.1177/1358863x251386394
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00