World Journal of Gastroenterology, volume 30, issue 29, pages 3538-3540
Evaluating the role of large language models in inflammatory bowel disease patient information
Eun Jeong Gong
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Publication type: Journal Article
Publication date: 2024-08-07
Journal:
World Journal of Gastroenterology
scimago Q1
SJR: 1.063
CiteScore: 7.8
Impact factor: 4.3
ISSN: 10079327, 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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