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Background <p>Artificial intelligence (AI) has been developing rapidly recently, with large language models such as Chat Generative Pre-trained Transformer (ChatGPT) garnering widespread attention across various fields globally. This scoping review examines the applications and advancements of AI, including natural language processing and computer simulation, as well as immersive technologies such as virtual reality (VR), augmented reality (AR), and mixed reality (MR) in dental education. Despite substantial research highlighting the benefits of AI in specific dental disciplines, a comprehensive review of the latest developments in AI within dental education has yet to be conducted.</p> Methods <p>A scoping review methodology was employed to identify relevant articles published between 2022 and 2024. Five databases were used to identify studies that utilized AI, VR, AR, and MR within dental education: Web of Science, Embase, PubMed, Scopus, and the Educational Resources Information Center (ERIC). The search strategy adhered to the guidelines set forth by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR). Research was classified by digital technology type and its implementation across dental specialties.</p> Results <p>Of the 1401 initial articles identified, 928 full-text articles were screened, and 76 ultimately met the selection criteria for the review. The selected research focused on AI, VR, AR, or MR applications within dental education.</p> Conclusion <p>This review underscores the transformative impact of AI and immersive technologies on dental education. By deepening our understanding and expanding the application of these technologies, we can improve educational outcomes through better cognitive visualization, standardized clinical training, and integrated multidisciplinary learning. Future research should focus on optimizing AI integration strategies and developing best practices to leverage these advanced technologies in dental education fully.</p>

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Application and development of artificial intelligence and immersive technologies in dental education: a scoping review

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月11日

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  • Shuheng Huang,
  • Yang Qu,
  • Yutong Sun,
  • Sishi Chen,
  • Lisha Gu

摘要

Background

Artificial intelligence (AI) has been developing rapidly recently, with large language models such as Chat Generative Pre-trained Transformer (ChatGPT) garnering widespread attention across various fields globally. This scoping review examines the applications and advancements of AI, including natural language processing and computer simulation, as well as immersive technologies such as virtual reality (VR), augmented reality (AR), and mixed reality (MR) in dental education. Despite substantial research highlighting the benefits of AI in specific dental disciplines, a comprehensive review of the latest developments in AI within dental education has yet to be conducted.

Methods

A scoping review methodology was employed to identify relevant articles published between 2022 and 2024. Five databases were used to identify studies that utilized AI, VR, AR, and MR within dental education: Web of Science, Embase, PubMed, Scopus, and the Educational Resources Information Center (ERIC). The search strategy adhered to the guidelines set forth by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR). Research was classified by digital technology type and its implementation across dental specialties.

Results

Of the 1401 initial articles identified, 928 full-text articles were screened, and 76 ultimately met the selection criteria for the review. The selected research focused on AI, VR, AR, or MR applications within dental education.

Conclusion

This review underscores the transformative impact of AI and immersive technologies on dental education. By deepening our understanding and expanding the application of these technologies, we can improve educational outcomes through better cognitive visualization, standardized clinical training, and integrated multidisciplinary learning. Future research should focus on optimizing AI integration strategies and developing best practices to leverage these advanced technologies in dental education fully.