Back to search

Article

Evaluating Large Language Models for Colonoscopy Preparation Assistance: Correctness and Diversity in Synthetic Dialogues

2025-11-20

Abstract excerpt

<h4>Background</h4> Colorectal cancer is a leading cause of cancer-related deaths in the United States, and colonoscopy remains the gold standard for early detection and prevention. However, many procedures are postponed due to inadequate bowel preparation, a preventable failure often caused by patients’ difficulty in understanding or following written prep instructions. Prior interventions such as reminder apps...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
73eb2321-9a0a-570b-a3d9-4559afdd0717
DOI
10.1101/2025.11.19.25340596
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Evaluating Large Language Models for Colonoscopy Preparation Assistance: Correctness and Diversity in Synthetic DialoguesDOI 10.1101/2025.11.19.25340596
Select a neighboring publication to make it the new centre.