This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (779) Artificial Intelligence (AI) in Medical Education (212) e-Learning and Digital Medical Education (933) Research Instruments, Questionnaires, and Tools (769) Testing and Assessment in Medical Education (107) AI Language Models in Health Care (225)

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

Authors of this article:

Carlos Ramon Hölzing1 Author Orcid Image ;   Charlotte Meynhardt1 Author Orcid Image ;   Patrick Meybohm1 Author Orcid Image ;   Sarah König2 Author Orcid Image ;   Peter Kranke1 Author Orcid Image
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