The reliability of freely accessible, baseline, general-purpose large language model generated patient information for frequently asked questions on liver disease: a preliminary cross-sectional study
Our findings outline the potential of freely accessible, baseline, general-purpose LLMs in providing reliable answers to FAQs on liver disease.
Authors
- Madunil Anuk Niriella (ORCID: https://orcid.org/0000-0002-7213-5858)
- S. K. Kodisinghe (ORCID: https://orcid.org/0000-0003-2956-5008)
- Dileepa Senajith Ediriweera (ORCID: https://orcid.org/0000-0001-5679-2893)
- H. Janaka de Silva
- Uditha Dassanayake (ORCID: https://orcid.org/0000-0001-6578-4473)
- Anuradha Supun Dassanayake (ORCID: https://orcid.org/0000-0001-5567-3542)
- M P Senanayake
- Pathum Premaratna
Institutions
- University of Kelaniya (LK)
- Vavuniya General Hospital (LK)
Publication Details
- Journal
- Expert Review of Gastroenterology & Hepatology
- Published
- 2025-02-22
- DOI
- https://doi.org/10.1080/17474124.2025.2471874
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00