Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84904, first published .
Fine-Tuned Large Language Models for Generating Multiple-Choice Questions in Anesthesiology: Psychometric Comparison With Faculty-Written Items

Fine-Tuned Large Language Models for Generating Multiple-Choice Questions in Anesthesiology: Psychometric Comparison With Faculty-Written Items

Fine-Tuned Large Language Models for Generating Multiple-Choice Questions in Anesthesiology: Psychometric Comparison With Faculty-Written Items

Carlos Ramon Hölzing   1 , MD ;   Charlotte Meynhardt   1 ;   Patrick Meybohm   1 , MD ;   Sarah König   2 , MD ;   Peter Kranke   1 , MD

1 Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Würzburg, Germany

2 Institute of Medical Teaching and Medical Education Research, University Hospital Würzburg, Würzburg, Germany

Corresponding Author:

  • Carlos Ramon Hölzing, MD
  • Department of Anaesthesiology, Intensive Care
  • Emergency and Pain Medicine, University Hospital Würzburg
  • Oberdürrbacher Str. 6
  • Würzburg 97080
  • Germany
  • Email: hoelzing_c@ukw.de