(Press-News.org) About The Article: The rise in chatbot health advice studies is accompanied by heterogeneity in reporting standards, impacting their interpretability. This article provides reporting recommendations for studies evaluating the performance of generative artificial intelligence (AI)–driven chatbots when summarizing clinical evidence and providing health advice. This article is being published jointly in Artificial Intelligence in Medicine, Annals of Family Medicine, BJS, BMC Medicine, BMJ Medicine, JAMA Network Open, The Lancet, NEJM-AI, and Surgical Endoscopy.
Corresponding Author: To contact the corresponding author, Bright Huo, MD, BScPharm, email brighthuo@dal.ca.
To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/
(doi:10.1001/jamanetworkopen.2025.30220)
Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.
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Reporting guideline for chatbot health advice studies
JAMA Network Open
2025-08-01
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[Press-News.org] Reporting guideline for chatbot health advice studiesJAMA Network Open