ChatGPT<i>versus</i>Bing: a clinician assessment of the accuracy of AI platforms when responding to COPD questions

Abstract

Chronic obstructive pulmonary disease (COPD) is a global respiratory challenge ranking third in morbidity and mortality, primarily caused by exposure to particulate matter, notably from tobacco smoke [1, 2]. The resulting inflammation and lung damage can lead to symptoms of symptoms such as shortness of breath, wheezing, cough and sputum production [1]. Footnotes This manuscript has recently been accepted for publication in the European Respiratory Journal . It is published here in its accepted form prior to copyediting and typesetting by our production team. After these production processes are complete and the authors have approved the resulting proofs, the article will move to the latest issue of the ERJ online. Please open or download the PDF to view this article. Conflict of Interest: All authors have nothing to disclose.

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