ReviewInternational endodontic journal2026
Artificial intelligence chatbots in endodontic education-Concepts and potential applications.
Review in International endodontic journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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
14 citing papers in PubMed.
- Comparative Benchmark of Seven Large Language Models for Traumatic Dental Injury Knowledge.European journal of dentistry · 2026Article
- Accuracy and Short-Term Consistency of Generative AI Chatbots in Guideline-Based Endodontic Decision Support: A Multi-Model Benchmarking Study.Dentistry journal · 2026Article
- Comparative benchmark assessment of performance of six different large language models in clinical decision-making for vital pulp therapy.Journal of conservative dentistry and endodontics · 2026Article
- [Development and psychometric validation of the User Experience Scale for Artificial Intelligence QuestionZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026Article
- How Reliably Do Large Language Models Reproduce Vital Pulp Therapy Guidelines? A Mixed-Effects Evaluation of Guideline-Concordance and Error Directionality.Healthcare (Basel, Switzerland) · 2026Article
- Evaluating the Ability of Multimodal Artificial Intelligence to Identify Endodontic Instruments: A Comparative Study of ChatGPT-4o and Gemini 3 Flash.Journal of clinical medicine · 2026Article
- Evaluating large language models for endodontic case difficulty assessment: accuracy, consistency, temporal stability, and agreement.BMC oral health · 2026Article
- Article
- Effect of language difference and time on the accuracy of artificial intelligence chatbots responses to questions about vital pulp therapy.BMC oral health · 2026Article
- A Bibliometric Analysis of Artificial Intelligence Research Published in Endodontic Journals.Iranian endodontic journal · 2026Review
- A Scoping Review of Large Language Models in Dental Education: Applications, Challenges, and Prospects.International dental journal · 2025Article
- Comparative Evaluation of Responses from ChatGPT-5, Gemini 2.5 Flash, Grok 4, and Claude Sonnet-4 Chatbots to Questions About Endodontic Iatrogenic Events.Healthcare (Basel, Switzerland) · 2025Article
- Comparison of responses from different artificial intelligence-powered chatbots regarding the All-on-four dental implant concept.BMC oral health · 2025Article
- Performance of five free large language models in dental trauma: a 30-day longitudinal benchmark study.Frontiers in oral health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The integration of artificial intelligence (AI) into education is transforming learning across various domains, including dentistry. Endodontic education can significantly benefit from AI chatbots; however, knowledge gaps regarding their potential and limitations hinder their effective utilization. This narrative review aims to: (A) explain the core functionalities of AI chatbots, including their reliance on natural language processing (NLP), machine learning (ML), and deep learning (DL); (B) explore their applications in endodontic education for personalized learning, interactive training, and clinical decision support; (C) discuss the challenges posed by technical limitations, ethical considerations, and the potential for misinformation. The review highlights that AI chatbots provide learners with immediate access to knowledge, personalized educational experiences, and tools for developing clinical reasoning through case-based learning. Educators benefit from streamlined curriculum development, automated assessment creation, and evidence-based resource integration. Despite these advantages, concerns such as chatbot hallucinations, algorithmic biases, potential for plagiarism, and the spread of misinformation require careful consideration. Analysis of current research reveals limited endodontic-specific studies, emphasizing the need for tailored chatbot solutions validated for accuracy and relevance. Successful integration will require collaborative efforts among educators, developers, and professional organizations to address challenges, ensure ethical use, and establish evaluation frameworks.
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What OpenQuestion holds
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.