ArticleJournal of dental sciences2025
Impact of language and question types on ChatGPT-4o's performance in answering oral pathology questions from Taiwan National Dental Licensing Examinations.
Article in Journal of dental sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- Bloom's taxonomy-based comparison of artificial intelligence and dental students in restorative dentistry.BMC medical education · 2026Article
- Diagnostic accuracy and repeatability of ChatGPT using textual and radiographic data in reversible pulpitis: a retrospective diagnostic study.Frontiers in bioinformatics · 2026Article
- Performance of ChatGPT-4, Gemini, and DeepSeek-V3 in answering the prompt-engineered questions from the Taiwan National Dental Technician Licensing Examination over a three-week period.Journal of dental sciences · 2026Article
- Performance of ChatGPT-4, Gemini, and DeepSeek-V3 on English-translated questions from the Taiwan national dental Technician Licensing examination over a three-week period.Journal of dental sciences · 2026Article
- Evaluation of the performance of an artificial intelligence model in recognizing the habitual mixed language in Taiwan for generating periodontal charting text reports.Journal of dental sciences · 2026Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background/purpose: ChatGPT has been utilized in medical and dental education, but its performance is potentially influenced by factors like language, question types, and content complexity. This study aimed to assess how English translation and question types affect ChatGPT-4o's accuracy in answering English-translated oral pathology (OP) multiple choice questions (MCQs). Materials and methods: A total of 280 OP MCQs were collected from Taiwan National Dental Licensing Examinations and English-translated as a testing set for ChatGPT-4o. The mean overall accuracy rates (ARs) for English-translated and non-translated MCQs were compared by the dependent Results: ChatGPT-4o showed significantly higher mean overall AR (93.2 ± 5.7 %) for English-translated MCQs than for non-translated MCQs (88.6 ± 6.5 %, Conclusion: Translation of exam questions into English significantly improved ChatGPT-4o's overall performance. Error pattern analysis confirmed that image-based questions were more likely to result in incorrect answers, reflecting the model's current limitations in visual reasoning. Nevertheless, ChatGPT-4o still demonstrated its strong potential as an educational support tool.
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Registered trials
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