Sociodemographic Bias in Large Language Model–Assisted Gastroenterology
This quality improvement study investigates the association of demographic characteristics with large language model–generated recommendations for simulated gastroenterology clinic cases.
Authors
- Eyal Klang (ORCID: https://orcid.org/0000-0002-4567-3108)
- Mahmud Omar (ORCID: https://orcid.org/0009-0001-0438-0827)
- Girish N. Nadkarni (ORCID: https://orcid.org/0000-0001-6319-4314)
- Asaf Levartovsky (ORCID: https://orcid.org/0000-0003-1235-1927)
- Uri Kopylov (ORCID: https://orcid.org/0000-0002-7156-0588)
Institutions
- Tel Aviv University (IL)
- Sheba Medical Center (IL)
- Mount Sinai Medical Center (US)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- JAMA Network Open
- Published
- 2025-09-24
- DOI
- https://doi.org/10.1001/jamanetworkopen.2025.32692
- Citations
- 5
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 3.27
Funders
- Eli Lilly and Company
- Pfizer