World Journal of Gastroenterology, volume 30, issue 29, pages 3538-3540

Evaluating the role of large language models in inflammatory bowel disease patient information

Publication typeJournal Article
Publication date2024-08-07
scimago Q1
SJR1.063
CiteScore7.8
Impact factor4.3
ISSN10079327, 22192840
Abstract

This letter evaluates the article by Gravina et al on ChatGPT’s potential in providing medical information for inflammatory bowel disease patients. While promising, it highlights the need for advanced techniques like reasoning + action and retrieval-augmented generation to improve accuracy and reliability. Emphasizing that simple question and answer testing is insufficient, it calls for more nuanced evaluation methods to truly gauge large language models’ capabilities in clinical applications.

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