Use of Large Language Models to Determine the Surveillance Colonoscopy Interval: A Bi-Institutional Validation Study
LLMs with a custom prompt achieve consistently high accuracy in determining the guideline-based surveillance colonoscopy interval.
Authors
- S. Barry Issenberg (ORCID: https://orcid.org/0000-0002-2524-4736)
- Jonathan England (ORCID: https://orcid.org/0000-0002-6330-3688)
- Shivan J. Mehta (ORCID: https://orcid.org/0000-0001-6066-4739)
- Vignesh Kumaresan (ORCID: https://orcid.org/0000-0002-9086-2397)
- Daniel A. Sussman (ORCID: https://orcid.org/0000-0002-4226-5264)
- Amar R. Deshpande (ORCID: https://orcid.org/0009-0007-0848-7158)
- Tessa S. Cook (ORCID: https://orcid.org/0000-0002-6007-7267)
- Vedant Acharya (ORCID: https://orcid.org/0000-0003-1364-2697)
Institutions
- University of Miami (US)
- DigiLens (United States) (US)
- Clinical Pharmacology of Miami (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- The American Journal of Gastroenterology
- Published
- 2025-11-24
- DOI
- https://doi.org/10.14309/ajg.0000000000003864
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00