Psychometric properties and detectability of GPT-4o-generated multiple-choice questions compared with human-authored items across imaging specialties.
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| Title: | Psychometric properties and detectability of GPT-4o-generated multiple-choice questions compared with human-authored items across imaging specialties. |
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| Authors: | Linde P; Department of Radiation Oncology, Cyberknife and Radiation Therapy, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany. philipp.linde@uk-koeln.de., Fichter F; Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany., Dietlein M; Department of Nuclear Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany., Sudbrock F; Department of Nuclear Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany., Afshar K; Institute for General Practice and Palliative Care, Hannover Medical School, Hannover, Germany., Dapper H; Department of Radiation Oncology, Cyberknife and Radiation Therapy, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany., Fokas E; Department of Radiation Oncology, Cyberknife and Radiation Therapy, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany., Hillebrecht AL; Department of Prosthetic Dentistry, Centre for Dental Medicine, Medical Centre, University of Freiburg, Freiburg, Germany., Raupach T; Institute of Medical Education, University Hospital Bonn, Bonn, Germany., Laupichler MC; Institute of Medical Education, University Hospital Bonn, Bonn, Germany. |
| Source: | NPJ digital medicine [NPJ Digit Med] 2026 Jan 08; Vol. 9 (1), pp. 132. Date of Electronic Publication: 2026 Jan 08. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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