Accuracy, reliability, readability, and European respiratory society guideline consistency of six generative artificial intelligence chatbots in providing health advice for chronic cough: A cross-sectional comparative assessment.

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Bibliographic Details
Title: Accuracy, reliability, readability, and European respiratory society guideline consistency of six generative artificial intelligence chatbots in providing health advice for chronic cough: A cross-sectional comparative assessment.
Authors: Wu ZY; Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China., Hu BB; Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China., Mao QX; Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China., Han YX; Department of Nursing, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China., Zhao Q; Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Source: Digital health [Digit Health] 2026 Apr 15; Vol. 12, pp. 20552076261444223. Date of Electronic Publication: 2026 Apr 15 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publications Ltd Country of Publication: United States NLM ID: 101690863 Publication Model: eCollection Cited Medium: Print ISSN: 2055-2076 (Print) Linking ISSN: 20552076 NLM ISO Abbreviation: Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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