ArticleCureus2024
Artificial Intelligence's Performance on the Japanese National Dental Examination.
Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Educational Applications of ChatGPT in University-Based Dental Education. A Systematic Review.European journal of dental education : official journal of the Association for Dental Education in Europe · 2026Pooled it
- Accuracy of large language models in the Turkish dental specialization examination (DUS): a multidimensional evaluation across disciplines and question formats.BMC oral health · 2026Article
- Diagnostic Capabilities of Large Language Models in Paediatric Dentistry.International dental journal · 2026Article
- Large language models as data-driven engines for benchmarking preventive and clinical knowledge in Chinese dental examinations.Frontiers in oral health · 2026Article
- Comparison of the performances of different updated generative artificial intelligence models on the Japanese National Dental Examination.Journal of dental sciences · 2026Article
- A Scoping Review of Large Language Models in Dental Education: Applications, Challenges, and Prospects.International dental journal · 2025Article
- Article
- ChatGPT (GPT-4V) Performance on the Healthcare Information Technologist Examination in Japan.Cureus · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background/purposeArtificial intelligence (AI) has developed rapidly and is applied to many fields including dental education. In this study, we evaluated AI performance on the Japanese National Dental Examination. MATERIALS AND
methodsWe extracted 349 of 400 compulsory questions from the National Dental Examinations over the past five years. Questions were presented to ChatGPT 3.5, ChatGPT 4o mini, and Gemini, and their performance was evaluated across 13 topic categories.
resultsChatGPT 4o mini achieved the passing criteria for exams for two years and had the highest total score of the three AIs. The scores of ChatGPT 4o mini on "Society and dentistry" and "Cardinal signs" were significantly higher than those of ChatGPT 3.5 (
conclusionsThe high performance of ChatGPT 4o mini indicates the potential value of the tool in dental education. Further improving its performance may lead to future clinical applications in dentistry.
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Registered trials
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.