Digesting Digital Health: A Study of Appropriateness and Readability of ChatGPT-Generated Gastroenterological Information
ChatGPT can produce generally fitting responses to gastroenterological medical queries, but responses were constrained in appropriateness and readability, which limits the current utility of this large language model. Substantial development is essential before these models can be unequivocally endorsed as reliable sources of medical information.
Authors
- Eva Alsheik
- Tobias Zuchelli
- Deepak Venkat
- Zachary M. Saleh (ORCID: https://orcid.org/0000-0001-9273-2417)
- Angela Ishak (ORCID: https://orcid.org/0000-0002-6789-5860)
- Neilanjan Nandi (ORCID: https://orcid.org/0000-0001-7624-3314)
- Avi Toiv
Institutions
- Henry Ford Hospital (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- Clinical and Translational Gastroenterology
- Published
- 2024-08-30
- DOI
- https://doi.org/10.14309/ctg.0000000000000765
- Citations
- 9
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.08