Artificial Intelligence in Gastroenterology Education: DeepSeek Passes the Gastroenterology Board Examination and Outperforms Legacy ChatGPT Models
DeepSeek exhibited passing performance on the gastroenterology board examination but had gaps in niche topics and image exclusion limit utility. It may supplement education if validated by specialists.
Authors
- Wisit Cheungpasitporn (ORCID: https://orcid.org/0000-0001-9954-9711)
- Charat Thongprayoon (ORCID: https://orcid.org/0000-0002-8313-3604)
- Mohamed O. Othman (ORCID: https://orcid.org/0000-0002-5888-4334)
- Pojsakorn Danpanichkul (ORCID: https://orcid.org/0000-0002-9121-165X)
- Alberto Hayek (ORCID: https://orcid.org/0009-0009-7736-5503)
- Masab Mansoor (ORCID: https://orcid.org/0009-0007-4501-7016)
- Andrew Ibrahim (ORCID: https://orcid.org/0000-0003-3035-8014)
- Annmarie Farag (ORCID: https://orcid.org/0009-0006-8404-4650)
- Elahna Paul (ORCID: https://orcid.org/0000-0002-1987-8652)
Institutions
- Texas Tech University (US)
- Mayo Clinic (US)
- Baylor College of Medicine (US)
- Texas Tech University Health Sciences Center (US)
Publication Details
- Journal
- The American Journal of Gastroenterology
- Published
- 2025-05-20
- DOI
- https://doi.org/10.14309/ajg.0000000000003552
- Citations
- 8
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 5.23