Accessibility settings

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

Testing and Assessment in Medical Education (124) Evaluation of Medical Education (173) New Methods and Approaches in Medical Education (447) Models and Frameworks in Medical Education (75) Artificial Intelligence (AI) in Medical Education (253) Generative Language Models Including ChatGPT (886)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82702, first published .
Doctor evaluating medical exam results on laptop surrounded by medical books and stethoscope

Ambiguity Detection in Medical Exams via Large Language Models: Retrospective Cross-Sectional Pilot Study

Ambiguity Detection in Medical Exams via Large Language Models: Retrospective Cross-Sectional Pilot Study

Authors of this article:

Romain Lombardi1, 2 Author Orcid Image ;   Alexandre Destere3, 4 Author Orcid Image ;   Jean Dellamonica1, 2, 5 Author Orcid Image ;   Alexandre O Gérard3 Author Orcid Image ;   Mathieu Jozwiak2, 5 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Romain Lombardi   1, 2 , MSc, MD ;   Alexandre Destere   3, 4 , PharmD, PhD ;   Jean Dellamonica   1, 2, 5 , MD, PhD ;   Alexandre O Gérard   3 , MD, PhD ;   Mathieu Jozwiak   2, 5 , MD, PhD

1 Critical Care Unit, Pasteur 2 University Hospital, Nice, France

2 UR2CA, Unité de Recherche Clinique Côte d'Azur, Université Côte d'Azur, Nice, France

3 Department of Clinical Pharmacology and Pharmacovigilance Center, Medical Centre, Université Côte d'Azur, Nice, France

4 Maasai Team, Laboratoire J.A. Dieudonné, Université Côte d'Azur, Inria, CNRS, Nice, France

5 Critical Care Unit, Archet 1 University Hospital, Nice, France

Corresponding Author: