This paper is in the following e-collection/theme issue:

Digital Health Reviews (1618) Chatbots and Conversational Agents (681) Generative Language Models Including ChatGPT (595) Artificial Intelligence (1914) Gastroenterology and Hepatology (93) Digital Health, Telehealth and e-Innovation in Clinical Settings (514) Decision Support for Health Professionals (1430) Ethics, Privacy, and Legal Issues (577)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66648, first published .
Large Language Models in Gastroenterology: Systematic Review

Large Language Models in Gastroenterology: Systematic Review

Large Language Models in Gastroenterology: Systematic Review

Authors of this article:

Eun Jeong Gong1, 2, 3 Author Orcid Image ;   Chang Seok Bang1, 2, 3 Author Orcid Image ;   Jae Jun Lee3 Author Orcid Image ;   Jonghyung Park4 Author Orcid Image ;   Eunsil Kim4 Author Orcid Image ;   Subeen Kim4 Author Orcid Image ;   Minjae Kimm5 Author Orcid Image ;   Seoung-Ho Choi6 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Niriella M, Premaratna P, Senanayake M, Kodisinghe S, Dassanayake U, Dassanayake A, Ediriweera D, de Silva H. The reliability of freely accessible, baseline, general-purpose large language model generated patient information for frequently asked questions on liver disease: a preliminary cross-sectional study. Expert Review of Gastroenterology & Hepatology 2025;19(4):437 View
  2. Robles-Medranda C, Verpalen I, Schulz D, Spadaccini M. Artificial Intelligence in Biliopancreatic Disorders: Applications in Cross-Sectional Imaging and Endoscopy. Gastroenterology 2025;169(3):471 View
  3. Suenghataiphorn T, Danpanichkul P, Tribuddharat N, Kulthamrongsri N. Toward Real-time Detection of Drug-induced Liver Injury Using Large Language Models: A Feasibility Study From Clinical Notes. Journal of Clinical and Experimental Hepatology 2025;15(6):102627 View