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.
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(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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About JAMA Network Open: JAMA Network Open is an online-only open access general medical journal from the JAMA Network. On weekdays, the journal publishes peer-reviewed clinical research and commentary in more than 40 medical and health subject areas. Every article is free online from the day of publication.
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JAMA Network Open