ChatGPT Generated Otorhinolaryngology Multiple-Choice Questions: Quality, Psychometric Properties, and Suitability for Assessments.

Saved in:
Bibliographic Details
Title: ChatGPT Generated Otorhinolaryngology Multiple-Choice Questions: Quality, Psychometric Properties, and Suitability for Assessments.
Authors: Lotto C; Department of Otorhinolaryngology, Head and Neck Surgery Inselspital, Bern University Hospital, University of Bern Bern Switzerland.; Department of Otolaryngology, Head and Neck Surgery IRCCS Azienda Ospedaliero-Universitaria di Bologna Bologna Italy.; Department of Medical and Surgical Sciences Alma Mater Studiorum-University of Bologna Bologna Italy., Sheppard SC; Department of Otorhinolaryngology, Head and Neck Surgery Inselspital, Bern University Hospital, University of Bern Bern Switzerland., Anschuetz W; Institute for Medical Education University of Bern Bern Switzerland., Stricker D; Institute for Medical Education University of Bern Bern Switzerland., Molinari G; Department of Otolaryngology, Head and Neck Surgery IRCCS Azienda Ospedaliero-Universitaria di Bologna Bologna Italy.; Department of Medical and Surgical Sciences Alma Mater Studiorum-University of Bologna Bologna Italy., Huwendiek S; Institute for Medical Education University of Bern Bern Switzerland., Anschuetz L; Department of Otorhinolaryngology, Head and Neck Surgery Inselspital, Bern University Hospital, University of Bern Bern Switzerland.; Department of Otorhinolaryngology, Head and Neck Surgery CHUV, University of Lausanne Lausanne Switzerland.; The Sense Innovation and Research Center Lausanne Switzerland.
Source: OTO open [OTO Open] 2024 Sep 26; Vol. 8 (3), pp. e70018. Date of Electronic Publication: 2024 Sep 26 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Wiley Periodicals LLC on behalf of American Academy of Otolaryngology–Head and Neck Surgery Foundation Country of Publication: United States NLM ID: 101717942 Publication Model: eCollection Cited Medium: Internet ISSN: 2473-974X (Electronic) Linking ISSN: 2473974X NLM ISO Abbreviation: OTO Open Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:2473-974X
DOI:10.1002/oto2.70018