Current status and future perspectives of artificial intelligence in virtual simulation-based stomatological education
10.3760/cma.j.cn112144-20250609-00214
- VernacularTitle:口腔医学虚拟仿真教学领域人工智能技术的研究现状与展望
- Author:
Liangwen CHEN
1
;
Liuyan MENG
1
Author Information
1. 武汉大学口腔医（学）院 口颌系统重建与再生全国重点实验室 口腔生物医学教育部重点实验室 口腔医学湖北省重点实验室，武汉 430079
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Oral medicine;
Teaching;
Computer-assisted instruction;
Digital dentistry
- From:
Chinese Journal of Stomatology
2025;60(9):1077-1084
- CountryChina
- Language:Chinese
-
Abstract:
Stomatological education is highly dependent on the development of practical skills. However, traditional teaching models present significant limitations in terms of standardization, cost-control, assessment objectivity, and operational safety. Virtual simulation technology offers a novel solution to these issues and with the integration of virtual simulation technology and artificial intelligence (AI) further advances the field toward more intelligent, personalized, and precise applications in the field. AI has demonstrated a key enabling role in various aspects, including creating high-fidelity virtual teaching content, enhancing clinical simulation realism, implementing intelligent assessment with personalized adaptive learning, and providing smart interaction and guidance. However, its practical application in virtual simulation teaching still faces multiple challenges related to resource investment, faculty training, technological iteration, system usability, and ethical-legal regulations. Looking forward, the continuous advancement of AI and its integration into multimodal teaching systems are expected to play a crucial role in building higher-fidelity immersive learning environments, achieving more intelligent personalized teaching, developing comprehensive clinical competencies, and promoting data-driven educational reform. This review aims to provide a comprehensive overview of the current application status, key enabling pathways, primary challenges, and future prospectives of AI in virtual simulation-based stomatologcial education.
