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 Surgery2025
Assessing the accuracy and reproducibility of ChatGPT for responding to patient inquiries about otosclerosis.
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, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Applications, Challenges, and Future Directions of Large Language Models in Health Care Communication: Scoping Review.Journal of medical Internet research · 2026Article
- Understanding Transformer-Based Classifications of Medical Text Using a Large Language Model for the Attribution of Feature Importance: Proof-of-Concept Algorithm Development and Validation Study.JMIR medical informatics · 2026Article
- Article
- Does ChatGPT update itself? Accuracy of ChatGPT in tympanostomy tube guidance: A comparative analysis with current literature.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 · 2026Article
- Postoperative Management of Tympanoplasty with ChatGPT-4.0.The journal of international advanced otology · 2025Article
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2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundPatients increasingly use chatbots powered by artificial intelligence to seek information. However, there is a lack of reliable studies on the accuracy and reproducibility of the information provided by these models. Therefore, we conducted a study investigating the ChatGPT's responses to questions about otosclerosis.
methods96 otosclerosis-related questions were collected from internet searches and websites of professional institutions and societies. Questions are divided into four sub-categories. These questions were directed at the latest version of ChatGPT Plus, and these responses were assessed by two otorhinolaryngology surgeons. Accuracy was graded as correct, incomplete, mixed, and irrelevant. Reproducibility was evaluated by comparing the consistency of the two answers to each specific question.
resultsThe overall accuracy and reproducibility rates of GPT-4o for correct answers were found to be 64.60% and 89.60%, respectively. The findings showed correct answers for accuracy and reproducibility for basic knowledge were 64.70% and 91.20%; for diagnosis & management, 64.0% and 92.0%; for medical & surgical treatment, 52.95% and 82.35%; and for operative risks & postoperative period, 75.0% and 90.0%, respectively. There were no significant differences found between the answers and groups in terms of accuracy and reproducibility (p = 0.073 and p = 0.752, respectively).
conclusionGPT-4o achieved satisfactory accuracy results, except in the diagnosis & management and medical & surgical treatment categories. Reproducibility was generally high across all categories. With the audio and visual communication capabilities of GPT-4o, under the supervision of a medical professional, this model can be utilized to provide medical information and support for otosclerosis patients.
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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.