ArticleJournal of dental sciences2025
Comparison of artificial intelligence systems in answering prosthodontics questions from the dental specialty exam in Turkey.
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 19 papers.
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Who cites it
19 citing papers in PubMed.
- Information Quality and Semantic Stability of AI Chatbot Responses to Complete Denture Questions: A Turkish-English Benchmarking Study.Healthcare (Basel, Switzerland) · 2026Article
- Article
- Bloom's taxonomy-based comparison of artificial intelligence and dental students in restorative dentistry.BMC medical education · 2026Article
- Assessment of various artificial intelligence applications' performance in responding to multiple-choice endodontics questions.BMC oral health · 2026Article
- Performance of 5 AI Models on United States Medical Licensing Examination Step 1 Questions: Comparative Observational Study.JMIR AI · 2026Article
- The effectiveness of large language models in dental specialty questions: a comparative study in the field of prosthodontics.BMC medical education · 2026Article
- Comparative performance evaluation of ChatGPT-4 Omni and Gemini Advanced in the Turkish Dentistry Specialization Exam.BMC medical education · 2026Article
- Can artificial intelligence chatbots think like dentists? A comparative analysis based on dental specialty examination questions in restorative dentistry.BMC oral health · 2026Article
- Article
- Artificial intelligence-powered chatbots' responses to orthodontic questions from the dentistry specialization examination: Accuracy and source evaluation.Journal of dental sciences · 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
- Comparison of chatbots' accuracy in endodontics questions in dentistry specialization exam in Türkiye: ChatGPT-4o, Gemini Advanced, Copilot, and Claude.BMC oral health · 2025Article
- Comparative performance of large language models in answering periodontology questions from the Turkish Dental Specialty Examination: a cross-sectional study on accuracy and coverage.BMC oral health · 2025Article
- Performance of ChatGPT-4, Gemini, and DeepSeek-V3 on answering the multiple choice questions from Taiwan national dental technician licensing examinations and their self-learning abilities over a three-week period.Journal of dental sciences · 2025Article
- Evaluation of the performance of different large language models on head and neck anatomy questions in the dentistry specialization exam in Turkey.Surgical and radiologic anatomy : SRA · 2025Article
- Performance of ChatGPT in answering the oral pathology questions of various types or subjects from Taiwan National Dental Licensing Examinations.Journal of dental sciences · 2025Article
- Comparison of responses from different artificial intelligence-powered chatbots regarding the All-on-four dental implant concept.BMC oral health · 2025Article
- Artificial intelligence performance in answering multiple-choice oral pathology questions: a comparative analysis.BMC oral health · 2025Article
Corrections and comments
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2 authors.
Funding
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Abstract
Materials and methods: The dataset for this study consists of 128 multiple-choice prosthodontics questions from the DUS, a national exam administered in Turkey by the Student Selection and Placement Center (ÖSYM) between 2012 and 2021. Chatbot performance was assessed by categorizing the questions into case-based and knowledge-based. Results: ChatGPT-4 achieved the highest accuracy (75.8 %), while Gemini AI had the lowest (46.1 %). Gemini AI also had more incorrect (69) than correct answers (59). ChatGPT-4 and ChatGPT-3.5 showed significantly higher accuracy in knowledge-based questions compared to case-based ones (p < 0.05). For case-based questions, Gemini and Gemini Advanced had the lowest accuracy (36.4 %), while other chatbots averaged 45.5 %. In knowledge-based questions, ChatGPT-4 performed best (78.6 %) and Gemini AI the worst (47 %). Conclusion: ChatGPT-4 excelled in knowledge-based prosthodontic questions, showing potential to enhance dental education through personalized learning and clinical reasoning support. However, its limitations in case-based scenarios highlight the need for optimization to better address complex clinical situations. These findings suggest that AI models can significantly contribute to dental education and clinical practice.
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