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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Use of Large Language Models to Determine the Surveillance Colonoscopy Interval: A Bi-Institutional Validation Study

S. Barry Issenberg, Jonathan England, Shivan J. Mehta, Vignesh Kumaresan et al.
The American Journal of Gastroenterology
Colorectal Cancer Screening and Detection
article

Use of Large Language Models to Determine the Surveillance Colonoscopy Interval: A Bi-Institutional Validation Study

S. Barry Issenberg, Jonathan England, Shivan J. Mehta, Vignesh Kumaresan, Daniel A. Sussman, Amar R. Deshpande, Tessa S. Cook, Vedant Acharya
article en

Abstract

LLMs with a custom prompt achieve consistently high accuracy in determining the guideline-based surveillance colonoscopy interval.

The American Journal of Gastroenterology
University of Miami (US), DigiLens (United States) (US), Clinical Pharmacology of Miami (US), University of Pennsylvania (US)
Openalex Percentile: Top 46%
Colorectal Cancer Screening and Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.