Evaluating large language models as patient education tools for inflammatory bowel disease: A comparative study
LLMs have the potential as educational tools for patients with IBD; however, there are discrepancies between the models. Further optimization and the development of specialized models are necessary to ensure the accuracy and safety of the information provided.
Authors
- Qingzhou Kong (ORCID: https://orcid.org/0000-0002-4744-3269)
- Xiuli Zuo (ORCID: https://orcid.org/0000-0001-9556-8771)
- Jing Guo (ORCID: https://orcid.org/0000-0003-3689-6374)
- Han Liu (ORCID: https://orcid.org/0000-0001-8464-5858)
- Jun Liu (ORCID: https://orcid.org/0000-0001-8300-8646)
- Yanqing Li (ORCID: https://orcid.org/0000-0003-0575-0399)
- Yan Zhang (ORCID: https://orcid.org/0000-0001-9468-5642)
- Xiaoyun Yang (ORCID: https://orcid.org/0000-0001-7162-3756)
- Xiao-Han Wan (ORCID: https://orcid.org/0009-0005-4759-0583)
Institutions
- Qilu Hospital of Shandong University (CN)
Publication Details
- Journal
- World Journal of Gastroenterology
- Published
- 2025-01-10
- DOI
- https://doi.org/10.3748/wjg.v31.i6.102090
- Citations
- 10
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 6.54