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Construction and Application of an AI Case-Based Virtual Simulation Intelligent Teaching Platform for Endodontics
Yang, Yang Yang, Deqin Wei, Xiaoling Hu, Yufeng Huang, Yiwei Hu, Linfeng Zhao, Zhongqi
Yang, Yang
Yang, Deqin
Wei, Xiaoling
Hu, Yufeng
Huang, Yiwei
Hu, Linfeng
Zhao, Zhongqi
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Editors
Date
2026
Educational Level
ISCED Level 6 Bachelor’s or equivalent
Curriculum Area
Geographical Setting
China
Abstract
Background: Endodontics emphasizes the organic integration of theoretical knowledge, clinical skills, and diagnostic reasoning. Traditional teaching models are insufficient in constructing highly immersive training environments and delivering personalized instruction. Virtual simulation platforms centered on artificial intelligence (AI) case libraries provide students with safe, controllable, and repeatable practical training environments through high-fidelity clinical scene restoration and interactive operational experiences, representing a crucial direction for overcoming teaching bottlenecks.
Objective: This study aims to construct an intelligent teaching platform that deeply integrates artificial intelligence and virtual simulation technology, fully leveraging the core advantages of virtual simulation in clinical scene construction and immersive learning experiences, and systematically evaluate its effectiveness in addressing standardized clinical skills assessment, the creation of safe and repeatable training environments, and the design of personalized learning pathways.
Methods: The research team developed an intelligent teaching system with virtual simulation technology as the underlying foundation and artificial intelligence as the intelligent driving core. The system relies on high-precision three-dimensional modeling and real-time interaction technology to construct a highly realistic virtual clinical operating environment, enabling students to complete the full-process simulation from case analysis to operational training under risk-free conditions. The system integrates three core modules: an intelligent knowledge graph module with three-dimensional visualization capabilities, an interactive clinical case module based on virtual simulation technology, and an intelligent assistant module providing real-time feedback. A group of students was selected to receive instruction using this system and underwent three assessments: theoretical knowledge, clinical reasoning, and practical operations, followed by a satisfaction survey.
Results: The students achieved a high excellence rate in assessment scores across the three dimensions of theoretical knowledge, clinical reasoning, and practical operations. The vast majority of students gave high praise to the immersive learning environment constructed by the virtual simulation platform, the authenticity and safety of operational training, and the real-time feedback provided by the intelligent assistant module.
Conclusion: The AI case-based virtual simulation intelligent teaching platform constructed in this study provides students with a highly immersive, safe, and repeatable clinical training environment, compensating for prominent issues in traditional teaching such as limited practical resources and high operational risks. This platform achieves the three-dimensional integration of knowledge acquisition, clinical reasoning, and skill training, offering a replicable practical paradigm for the deep integration of artificial intelligence and virtual simulation technology in medical education.
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Keywords (free text)
digital intelligence education, artificial intelligence, intelligent teaching platforms, clinical reasoning, personalized learning, medical education, endodontic education