International Oral Science Research
International Oral Science Research. 2025; 4: (1) ; 10.12208/j.iosr.20250008 .
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重庆医科大学 重庆
*通讯作者： 王凯,单位：重庆医科大学 重庆；
随着信息技术和智能化技术的迅速发展，数字化口腔医学逐渐成为现代口腔医疗领域的重要方向。数字化口腔医学包括数字印模、口内扫描、虚拟仿真、三维建模、计算机辅助设计与制造（CAD/CAM）、3D 打印、人工智能辅助诊疗、大数据管理以及纳米材料在临床应用中的整合等多个方面。通过数字化技术的引入，口腔诊疗的精准性和效率得以显著提升，同时在教学、科研和管理上也展示出广阔的应用前景。数字化口腔技术不仅改善了传统口腔治疗中存在的操作误差和耗时问题，还在复杂手术、个性化义齿修复以及口腔疾病早期诊断中提供了可量化、可追踪和可复现的方案。近年来，随着虚拟现实、增强现实、人工智能以及3D 打印等技术的成熟，口腔教育和培训也进入了数字化时代，实现了高仿真模拟训练和精准评估。与此同时，数字化口腔医学的数据整合能力和智能分析能力为个性化治疗、远程医疗以及医疗大数据应用提供了强有力的支持。本文系统综述了数字化口腔医学的发展历程、核心技术、临床应用、教育培训、数据与人工智能管理、材料创新等方面的最新进展，并对现阶段的挑战与未来发展趋势进行了深入分析，为口腔医学科研、临床及教育工作者提供参考和指导。
With the rapid development of information technology and intelligent technology, digital oral medicine has gradually become an important direction in the field of modern oral healthcare. Digital oral medicine encompasses multiple aspects, including digital impressions, intraoral scanning, virtual simulation, 3D modeling, computer-aided design and manufacturing (CAD/CAM), 3D printing, artificial intelligence-assisted diagnosis and treatment, big data management, and the integration of nanomaterials in clinical applications. The introduction of digital technology has significantly improved the precision and efficiency of oral diagnosis and treatment, while also demonstrating broad application prospects in teaching, research, and management. Digital oral technology not only addresses operational errors and time-consuming issues in traditional oral treatment but also provides quantifiable, trackable, and reproducible solutions for complex surgeries, personalized denture restoration, and early diagnosis of oral diseases. In recent years, with the maturity of technologies such as virtual reality, augmented reality, artificial intelligence, and 3D printing, oral education and training have entered the digital era, achieving high-fidelity simulation training and precise evaluation. Meanwhile, the data integration and intelligent analysis capabilities of digital oral medicine provide strong support for personalized treatment, telemedicine, and medical big data applications. This article systematically reviews the latest advancements in the development history, core technologies, clinical applications, education and training, data and artificial intelligence management, and material innovation of digital oral medicine. It also conducts an in-depth analysis of the challenges and future development trends at the current stage, providing references and guidance for oral medical research, clinical practice, and educators.
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