{"title":"Global Trends in the Use of Artificial Intelligence in Dental Education: A Bibliometric Analysis.","authors":"Margarita Iniesta, Juan José Pérez-Higueras","doi":"10.1111/eje.13133","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>The aim of this study was to examine the application of artificial intelligence (AI) and generative AI (GAI) in dental education through a comprehensive bibliometric analysis, with the goal of identifying potential future research areas in this field.</p><p><strong>Materials and methods: </strong>Data were obtained from the Web of Science and Scopus databases, with no date restrictions. The inclusion criteria encompassed research articles, reviews and proceedings papers focused on the use of AI in dental education. The Bibliometrix R package was used for data analysis.</p><p><strong>Results: </strong>A total of 54 documents were analysed, revealing a significant increase in publications from 2021 to 2024. The Journal of Dental Education was identified as the most prolific source, with the United States leading in terms of contributions. The findings showed a growing interest in AI's potential to transform dental education, with significant contributions from a diverse set of global authors and institutions. Several key themes were identified, including 'large language models', 'chatbots' and 'clinical decision support systems'. The citation analysis highlighted influential papers, including those by Thurzo et al. (2023) and Yüzbaşıoğlu (2021).</p><p><strong>Conclusion: </strong>There is a growing interest in the use of AI and GAI in dental education. However, further research, particularly experimental studies, is essential to fully understand their impact on educational outcomes in dentistry. Key areas for exploration include the application of AI for personalised learning, the integration of chatbots as educational tools to support students, and the use of AI for training and assessing practical skills.</p>","PeriodicalId":50488,"journal":{"name":"European Journal of Dental Education","volume":" ","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Dental Education","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1111/eje.13133","RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: The aim of this study was to examine the application of artificial intelligence (AI) and generative AI (GAI) in dental education through a comprehensive bibliometric analysis, with the goal of identifying potential future research areas in this field.
Materials and methods: Data were obtained from the Web of Science and Scopus databases, with no date restrictions. The inclusion criteria encompassed research articles, reviews and proceedings papers focused on the use of AI in dental education. The Bibliometrix R package was used for data analysis.
Results: A total of 54 documents were analysed, revealing a significant increase in publications from 2021 to 2024. The Journal of Dental Education was identified as the most prolific source, with the United States leading in terms of contributions. The findings showed a growing interest in AI's potential to transform dental education, with significant contributions from a diverse set of global authors and institutions. Several key themes were identified, including 'large language models', 'chatbots' and 'clinical decision support systems'. The citation analysis highlighted influential papers, including those by Thurzo et al. (2023) and Yüzbaşıoğlu (2021).
Conclusion: There is a growing interest in the use of AI and GAI in dental education. However, further research, particularly experimental studies, is essential to fully understand their impact on educational outcomes in dentistry. Key areas for exploration include the application of AI for personalised learning, the integration of chatbots as educational tools to support students, and the use of AI for training and assessing practical skills.
前言：本研究的目的是通过全面的文献计量分析来研究人工智能（AI）和生成式人工智能（GAI）在牙科教育中的应用，以确定该领域未来潜在的研究领域。材料和方法：数据来源于Web of Science和Scopus数据库，无日期限制。纳入标准包括研究论文、综述和论文集，重点关注人工智能在牙科教育中的应用。使用Bibliometrix R软件包进行数据分析。结果：共分析了54份文献，发现从2021年到2024年，出版物显著增加。《牙科教育杂志》被认为是最多产的来源，美国在贡献方面处于领先地位。研究结果表明，人们对人工智能改变牙科教育的潜力越来越感兴趣，全球各地的作者和机构都做出了重大贡献。确定了几个关键主题，包括“大型语言模型”、“聊天机器人”和“临床决策支持系统”。引用分析突出了有影响力的论文，包括Thurzo等人（2023）和Yüzbaşıoğlu（2021）的论文。结论：人工智能和人工智能在口腔教育中的应用日益受到关注。然而，进一步的研究，特别是实验研究，对于充分了解它们对牙科教育成果的影响是必不可少的。探索的关键领域包括人工智能在个性化学习中的应用，将聊天机器人集成为支持学生的教育工具，以及将人工智能用于培训和评估实用技能。
期刊介绍：
The aim of the European Journal of Dental Education is to publish original topical and review articles of the highest quality in the field of Dental Education. The Journal seeks to disseminate widely the latest information on curriculum development teaching methodologies assessment techniques and quality assurance in the fields of dental undergraduate and postgraduate education and dental auxiliary personnel training. The scope includes the dental educational aspects of the basic medical sciences the behavioural sciences the interface with medical education information technology and distance learning and educational audit. Papers embodying the results of high-quality educational research of relevance to dentistry are particularly encouraged as are evidence-based reports of novel and established educational programmes and their outcomes.
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