{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T09:35:58Z","timestamp":1793352958410,"version":"4.5.0"},"reference-count":14,"publisher":"European Respiratory Society (ERS)","issue":"4","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["publications.ersnet.org"],"crossmark-restriction":true},"short-container-title":["Breathe"],"accepted":{"date-parts":[[2026,7,3]]},"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:p>\n                    This Journal club discusses three recent studies evaluating large language models (LLMs) in respiratory medicine and allergy. In COPD, ChatGPT-3.5 was rated higher than Bing Chat by respiratory specialists for accuracy, completeness, clarity and safety, although clinically important omissions remained. In asthma, 13 out of 14 models exceeded 85% accuracy on multiple-choice questions and five exceeded 95%, but performance was lower and more variable in objective structured clinical examinations. In allergen immunotherapy, ChatGPT-4 achieved fair overall DISCERN quality, but showed insufficient\n                    <jats:italic>Journal of the American Medical Association<\/jats:italic>\n                    (\n                    <jats:italic>JAMA<\/jats:italic>\n                    ) benchmark reliability and produced responses that were often difficult to read. Together, these studies show that LLMs perform best on structured and familiar knowledge tasks, while weaknesses persist in completeness, transparency, readability and clinically nuanced application. Current evidence supports supervised educational use in respiratory medicine and allergy, but not unsupervised patient counselling or autonomous clinical deployment.\n                  <\/jats:p>","DOI":"10.1183\/20734735.0125-2026","type":"journal-article","created":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T08:30:15Z","timestamp":1791880215000},"page":"260125","update-policy":"https:\/\/doi.org\/10.1183\/ers-crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Clinical performance and practical limitations of large language models in respiratory 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(COPD)","volume":"33","author":"Stellefson","year":"2018","journal-title":"Health Commun"},{"key":"2026101301301178000_22.4.260125.2","doi-asserted-by":"crossref","first-page":"6029","DOI":"10.1007\/s00405-025-09526-2","article-title":"Digital health tools in the management of allergic rhinitis: a systematic review","volume":"282","author":"Alotaibi","year":"2025","journal-title":"Eur Arch Otorhinolaryngol"},{"key":"2026101301301178000_22.4.260125.3","doi-asserted-by":"crossref","first-page":"e52818","DOI":"10.2196\/52818","article-title":"Appraisal of ChatGPT's aptitude for medical education: comparative analysis with third-year medical students in a pulmonology examination","volume":"10","author":"Cherif","year":"2024","journal-title":"JMIR Med Educ"},{"key":"2026101301301178000_22.4.260125.4","doi-asserted-by":"crossref","first-page":"100330","DOI":"10.1016\/j.jacig.2024.100330","article-title":"Evaluating the scientific reliability of ChatGPT as a source of information on 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answering asthma multiple choice and objective structured clinical examination questions","volume":"169","author":"Li","year":"2026","journal-title":"Chest"},{"key":"2026101301301178000_22.4.260125.13","doi-asserted-by":"crossref","first-page":"e70130","DOI":"10.1002\/clt2.70130","article-title":"Evaluation of the quality and reliability of ChatGPT-4's responses on allergen immunotherapy using validated instruments for health information quality assessment","volume":"15","author":"Cherrez-Ojeda","year":"2025","journal-title":"Clin Transl Allergy"},{"key":"2026101301301178000_22.4.260125.14","doi-asserted-by":"crossref","first-page":"728","DOI":"10.1111\/pai.12807","article-title":"EAACI guidelines on allergen immunotherapy: prevention of allergy","volume":"28","author":"Halken","year":"2017","journal-title":"Pediatr Allergy Immunol"}],"container-title":["Breathe"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/syndication.highwire.org\/content\/doi\/10.1183\/20734735.0125-2026","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T08:30:17Z","timestamp":1791880217000},"score":1,"resource":{"primary":{"URL":"http:\/\/publications.ersnet.org\/lookup\/doi\/10.1183\/20734735.0125-2026"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":14,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2026,10,13]]},"published-print":{"date-parts":[[2026,10]]}},"alternative-id":["10.1183\/20734735.0125-2026"],"URL":"https:\/\/doi.org\/10.1183\/20734735.0125-2026","relation":{},"ISSN":["1810-6838","2073-4735"],"issn-type":[{"value":"1810-6838","type":"print"},{"value":"2073-4735","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,10]]}}}