机器学习在口腔种植学的应用研究进展
Research Progress on the Application of Machine Learning in Dental Implantology
DOI: 10.12677/acm.2026.1641348, PDF,   
作者: 刘家辉：重庆医科大学口腔医学院，重庆；黄楠楠, 杨 生*：重庆医科大学口腔医学院，重庆；口腔疾病研究重庆市重点实验室，重庆；重庆市高校市级口腔生物医学工程重点实验室，重庆；重庆市卫生健康委口腔生物医学工程重点实验室，重庆；重庆医科大学附属口腔医院修复科，重庆
关键词: 口腔种植；人工智能；机器学习；Dental Implants； Artificial Intelligence； Machine Learning
摘要: 随着口腔种植学的发展以及人们口腔修复需求日益增加，种植义齿逐渐成为主要的义齿修复方式。人工智能的快速发展正深刻影响着医学领域，其中机器学习作为人工智能实现的重要方法，已有大量研究尝试将其应用到口腔种植学领域，本文旨在系统总结近年来机器学习在口腔种植学中的应用研究进展，包括影像识别、临床数据分析、手术辅助等方面，通过对相关研究的综合分析，探讨口腔种植数字化和智能化当前的挑战和未来的发展方向。
Abstract: With the advancement of oral implantology and the increasing demand for prosthetic rehabilitation, dental implants have gradually become a primary treatment modality. The rapid development of artificial intelligence (AI) is profoundly impacting the medical field. As a key approach to achieving AI, machine learning (ML) has been extensively explored for applications in oral implantology. This review aims to systematically summarize recent research progress on the application of machine learning in this field, including aspects such as image recognition, clinical data analysis, and surgical assistance. Through a comprehensive analysis of relevant studies, this paper discusses the current challenges and future directions for the digital and intelligent advancement of oral implantology.
文章引用：刘家辉, 黄楠楠, 杨生. 机器学习在口腔种植学的应用研究进展[J]. 临床医学进展, 2026, 16(4): 1148-1156. https://doi.org/10.12677/acm.2026.1641348

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