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ArticleEuropean geriatric medicine2026

Evaluating how different versions of ChatGPT align with expert opinions on geriatric script concordance tests.

Matthieu Lilamand, Théodore Decaix, Pierre-Antoine Gourraud, Richard Dufour, Gaëtan Gavazzi, Jacques Boaddaert, Claire Roubaud-Baudron, Hélène Vallet, Cédric Annweiler, Guillaume Chapelet

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Article in European geriatric medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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10 authors.

Matthieu LilamandAP-HP. Nord, INSERM UMR-S 1144, Service de Gériatrie Hôpital Lariboisière-Fernand Widal , Université Paris Cité, 200 Rue du Fbg Saint Denis, 75010, Paris, France. matthieu.lilamand@aphp.fr.ORCID http://orcid.org/0000-0002-4622-2413
Théodore DecaixAP-HP. Nord, INSERM UMR-S 1144, Service de Gériatrie Hôpital Lariboisière-Fernand Widal , Université Paris Cité, 200 Rue du Fbg Saint Denis, 75010, Paris, France.
Pierre-Antoine GourraudCR2TI INSERM Center for Research in Transplantation and Translational Immunology, Nantes Université, Nantes, France.
Richard DufourUMR_6004 Laboratoire Des Sciences du Numérique de Nantes, Nantes Université, Nantes, France.
Gaëtan GavazziCHU Grenoble-Alpes, Équipe T-RAIG, TIMC, CNRS 5525, Université Grenoble-Alpes, Grenoble, France.
Jacques BoaddaertAP-HP.Sorbonne, Université Geriatric Department, La Pitié Salpêtrière Hospital, Paris, France.
Claire Roubaud-BaudronCHU Bordeaux, Pôle de Gérontologie Clinique INSERM UMR 1312, Bordeaux Institute of Oncology, Université Bordeaux, Bordeaux, France.
Hélène ValletAP-HP.Sorbonne, Université Geriatric Department, Saint Antoine Hospital, Paris, France.
Cédric AnnweilerFaculty of Health, UPRES EA 4638, Department of Geriatric Medicine and Memory Clinic, Research Center On Autonomy and Longevity, University of Angers, University Hospital, Angers, France.
Guillaume ChapeletINSERM TENS, The Enteric Nervous System in Gut and Brain Diseases, IMAD, Nantes Univerité, Nantes, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLarge Language Models (LLMs), such as ChatGPT, are increasingly used in medical education, particularly for training clinical reasoning. Script Concordance Tests (SCTs) are valuable tools for assessing reasoning under uncertainty. Our objective was to evaluate the performance of four ChatGPT versions (3.5, 4, 4o, and 5) on SCTs compared to Geriatric Medicine experts.

methodsTwenty validated SCT questions covering diverse geriatric topics were administered to ChatGPT-3.5, 4, 4o, and 5, as well as a panel of 43 experts. SCTs assess responses on a five-point Likert scale, and scores were calculated using aggregate expert answers as the reference. Performance was analyzed based on alignment with expert majority responses.

resultsChatGPT-3.5 achieved a score of 8/20, aligning with the majority of experts on 15% of responses. ChatGPT-4 and -5 demonstrated significantly improved performance, scoring 15.6/20 and 15.2/20, respectively, and aligning with the majority on 45% of responses. ChatGPT 4o scored 13.6/20, slightly underperforming GPT-4, potentially due to differences in its architecture or training data. While GPT-4 and 5 excelled in reasoning and coherence, GPT-3.5 struggled with nuanced clinical scenarios.

conclusionChatGPT-4 and -5 performed comparably to geriatric experts in SCT-based reasoning, highlighting its potential for medical education. It can simulate case discussions, enhance autonomous learning, and support formative assessments. However, limitations such as variability across versions and question-specific challenges emphasize the need for further evaluation of LLMs across broader clinical domains. These findings support the integration of advanced LLMs into medical education to complement traditional teaching methods.

Indexed as

Clinical CompetenceClinical ReasoningEducational MeasurementEducation, MedicalGeriatricsAgedGenerative Artificial IntelligenceHumansMaleArtificial IntelligenceGeriatricsLarge Language ModelsMedical educationScript Concordance Tests

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