Evaluation of large language model-generated medical information on idiopathic pulmonary fibrosis
These findings highlight the need for AI model refinement as LLMs evolve as healthcare reference tools to help doctors and patients make evidence-based decisions.
Authors
- Ricardo G. Figueiredo (ORCID: https://orcid.org/0000-0003-2128-2775)
- Björn C. Frye (ORCID: https://orcid.org/0000-0003-3520-1868)
- Iván Chérrez-Ojeda (ORCID: https://orcid.org/0000-0002-1610-239X)
- Heidegger Mateos‐Toledo
- Christopher J. Ryerson (ORCID: https://orcid.org/0000-0003-1049-393X)
- Andreas Hoheisel
- Arturo Cortés-Telles (ORCID: https://orcid.org/0000-0002-5322-5604)
- Juan Carlos Calderón (ORCID: https://orcid.org/0000-0003-3889-9309)
- Karla Robles‐Velasco (ORCID: https://orcid.org/0000-0001-7780-1015)
- Gabriela Rodas‐Valero
Institutions
- University of British Columbia (CA)
- University of Freiburg (DE)
- Universidade Estadual de Feira de Santana (BR)
- University Medical Center Freiburg (DE)
- Universidad Espíritu Santo (EC)
- Humboldt-Universität zu Berlin (DE)
- Hospital Regional de Alta Especialidad del Bajío (MX)
- Freie Universität Berlin (DE)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2025-09-24
- DOI
- https://doi.org/10.3389/frai.2025.1618378
- Primary Topic
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00