Progress of a Novel Dentistry Teaching Model Based on the Combination of Virtual Reality and Artificial Intelligence Technologies in Optimizing Cognitive Load: A Systematic Review

作者：LU Bing-xu, Ziming Wei, Xiaolan Li, Yaping Yin, Jiajia Linghu, Yunyi Wang, Lei Chen, Zhaoqiang Zhang · 发表于：Journal of Dental Education · 年份：2025 · DOI：10.1002/jdd.70025 · 被引用次数：5 · 研究领域：Dental Research and COVID-19、Virtual Reality Applications and Impacts、Dental Radiography and Imaging

BACKGROUND: Virtual reality (VR) and artificial intelligence (AI) technologies have advanced significantly over the past few decades, expanding into various fields, including dental education. PURPOSE: To comprehensively review the application of VR and AI technologies in dentistry training, focusing on their impact on cognitive load management and skill enhancement. This study systematically summarizes the existing literature by means of a scoping review to explore the effects of the application of these technologies and to explore future directions. METHODS: This study utilized a scoping review approach and a literature search using databases such as PubMed, IEEE Xplore, and Google Scholar. Keywords included "virtual reality", "artificial intelligence", "dental training", "medical education", and "cognitive load". "cognitive load". The collected literature was screened and evaluated according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, focusing on studies with rigorous methodology, detailed data analysis, and valid conclusions. RESULTS: VR offers immersive, interactive 3D environments, allowing users to safely practice complex procedures in a controlled virtual setting. AI enhances this experience by automating and optimizing functions such as image recognition, natural language processing, and decision support through machine learning algorithms and big data analytics. Together, VR and AI significantly enhance students' technical s...