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

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摘要 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.
出处 《World Journal of Gastroenterology》 SCIE CAS 2024年第29期3538-3540,共3页 世界胃肠病学杂志(英文版)
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