Evidence map›Paper›PMID 41862715›Full record

ArticleEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2026

Evaluation of ChatGPT-4o as a text-based clinical decision support tool for junior otolaryngology residents: A randomized controlled trial.

Lise Sogalow, Meryem Miri, Antonino Maniaci, Carlos M Chiesa-Estomba, Sarah Saxena, Stephane Hans, Giovanni Briganti, Jérôme R Lechien

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Article in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 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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4 · The record

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5 · Who and what money

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8 authors.

Lise SogalowDepartment of Surgery, UMONS Research Institute for Health Sciences and Technology, University of Mons (UMons), Mons, Belgium. 539152@umons.ac.be.ORCID http://orcid.org/0009-0000-2108-8759
Meryem MiriDepartment of Surgery, UMONS Research Institute for Health Sciences and Technology, University of Mons (UMons), Mons, Belgium.
Antonino ManiaciDepartment of Surgery, UMONS Research Institute for Health Sciences and Technology, University of Mons (UMons), Mons, Belgium.
Carlos M Chiesa-EstombaResearch Committee, Young-Otolaryngologists of the International Federation of Otorhinolaryngological Societies, Paris, France.
Sarah SaxenaDepartment of Surgery, UMONS Research Institute for Health Sciences and Technology, University of Mons (UMons), Mons, Belgium.
Stephane HansDepartment of Otorhinolaryngology and Head and Neck Surgery, Foch Hospital, Paris Saclay University, Phonetics and Phonology Laboratory (UMR 7018 CNRS, Université Sorbonne Nouvelle/Paris 3), Paris, France.
Giovanni BrigantiUnit of Computational Medicine and Neuropsychiatry, Faculty of Medicine, Pharmacy and Biomedical Sciences, University of Mons (UMONS), Mons, Belgium.
Jérôme R LechienDepartment of Surgery, UMONS Research Institute for Health Sciences and Technology, University of Mons (UMons), Mons, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAn increasing number of residents use Large Language Models (LLMs) as adjunctive tools in their medical practice. This preliminary randomized controlled trial evaluated the performance of ChatGPT-4o as a text-based clinical decision support tool for first-year residents (PGY1) and compared the structure and completeness of ChatGPT-4o outputs with those of a board-certified otolaryngologist.

methodsPGY1 resident consultation outputs were randomly assigned to either ChatGPT-4o or a board-certified otolaryngologist for assessing the resident consideration of medical history, clinical presentation, and examination findings in establishing primary and differential diagnoses, management plan, and treatments. Two blinded board-certified otolaryngologists independently assessed ChatGPT-4o and otolaryngologist recommendations using the Artificial Intelligence Performance Instrument (AIPI). The Intraclass Correlation Coefficient (ICC) was used to measure interrater agreement.

resultsPatient demographics were comparable between ChatGPT-4o (n = 40) and otolaryngologist groups (n = 40). Blinded assessment revealed comparable performance between the otolaryngologist and ChatGPT-4o for evaluating PGY1 resident consideration of medical history and clinical presentation for primary diagnosis, and management plan. ChatGPT-4o achieved higher AIPI scores for documenting differential diagnosis, completeness of additional examinations, and treatment explanations than the otolaryngologist. The mean AIPI score for ChatGPT-4o was significantly higher than the otolaryngologist score (14.20 ± 2.24 versus 12.34 ± 1.91; p = 0.001). Interrater reliability was adequate (ICC = 0.699). DISCUSSION: To our knowledge, this is the first study comparing LLM-generated text-based decision-support feedback and human review for PGY1 residents. Future studies are needed to determine the role of AI as an adjunctive tool under human oversight. IMPLICATIONS FOR PRACTICE: ChatGPT-4o demonstrated comparable performance to a board-certified otolaryngologist for providing structured, text-based decision-support feedback to PGY1 residents, achieving higher performance for documenting differential diagnoses and treatment explanations reflecting greater informational completeness rather than superior clinical judgment.

Indexed as

AccuracyArtificial IntelligenceChatGPTDecision SupportHead Neck SurgeryLarge Language ModelsOtolaryngologyPostgraduateResident

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.