Biomaterial and Prosthodontic Laboratory, Department of Restorative Dentistry, Rutgers School of Dental Medicine, Newark, New Jersey, USA.
Department of Endodontics, University of the Pacific, Arthur A. Dugoni School of Dentistry, San Francisco, California, USA.
J Dent Educ. 2022 Jun;86(6):736-750. doi: 10.1002/jdd.12856. Epub 2021 Dec 28.
The aim of this scoping review is to examine artificial intelligence (AI) and virtual teaching models within the context of dental education, establish methods to address the resources being investigated, and ultimately augment this approach for future scientific research.
To evaluate the applications of AI and immersive technology, a scoping literature review was conducted using the Embase, PubMed, Web of Science, and Cochrane Library database from the years 2018 to May 19, 2021. Additionally, a manual search was completed. The search strategy was formulated according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines. Studies that addressed the current uses of virtual devices and their revolutionary potential in dental education were categorized separately for further evaluation.
Of the 2500 articles found in our initial search results, 31 articles met the inclusion criteria set for this review. The selected studies were directly related to AI and immersive tools in dental education.
To our knowledge, there are very few comprehensive literature reviews identifying the applications and efficacy of virtual and AI-driven tools in dental education. With limited verifiable evidence, an improved understanding of virtual and AI domains is needed to enable dental students to adapt to changes within and beyond their dental training education. To increase the scientific value of digital-related research, the scientific community must quickly define guidelines to enhance methodological approaches in order to effectively digitalize dentistry.
本范围综述旨在考察人工智能(AI)和虚拟教学模型在牙科教育中的应用,确定研究资源的方法,并最终为未来的科学研究提供补充。
为了评估 AI 和沉浸式技术的应用,我们对 2018 年至 2021 年 5 月 19 日期间的 Embase、PubMed、Web of Science 和 Cochrane Library 数据库进行了范围广泛的文献回顾,并进行了人工搜索。搜索策略是根据系统评价和荟萃分析扩展的首选报告项目(PRISMA-ScR)指南制定的。将分别对涉及虚拟设备当前用途及其在牙科教育中潜在变革的研究进行分类,以进一步评估。
在我们最初的搜索结果中,有 2500 篇文章,其中 31 篇符合本综述的纳入标准。选择的研究直接涉及牙科教育中的 AI 和沉浸式工具。
据我们所知,很少有全面的文献综述能够确定虚拟和 AI 驱动工具在牙科教育中的应用和效果。由于可验证的证据有限,需要更深入地了解虚拟和 AI 领域,以使牙科学生能够适应其牙科培训教育内外的变化。为了提高与数字相关的研究的科学价值,科学界必须迅速确定指导方针,以加强方法学方法,从而有效地使牙科数字化。