Research progress in digital and intelligent oral implantology based on deep learning: Algorithm development and clinical translation

doi:10.12439/kqhm.1005-4979.2025.05.003

Abstract

Abstract:

Dental implantation has revolutionized the traditional prosthetic approach to tooth loss and is regarded as the optimal solution for replacing missing teeth and restoring oral function and aesthetics. With the swift development of artificial intelligence (AI) technology and its profound integration with oral implantology, a growing number of studies have begun to explore the application of AI in the field of oral implantology, covering multiple aspects such as auxiliary diagnosis, treatment planning and surgical robotics. This review systematically introduces the multi-dimensional progress of AI in the digital and intelligent transformation of oral implantology in recent years and provides an outlook on its potential and research value.

Key words: artificial intelligence, convolutional neural network, oral implantology, surgical robot

摘要：

种植牙技术革命性地改变了缺牙修复的传统模式，已成为恢复口腔功能和美观的最佳解决方案。随着人工智能（artificial intelligence，AI）技术的高速发展及其与口腔种植学的深度融合，越来越多的研究开始探索AI在口腔种植领域的应用，涵盖辅助诊断、方案设计和手术机器人等多个方面。本文系统综述了近年来AI在口腔种植学数字化、智能化转型的多维度进展，并对其潜力和研究价值进行展望。

关键词: 人工智能, 卷积神经网络, 口腔种植学, 手术机器人

LI Yunlang, LI Chaoyuan. Research progress in digital and intelligent oral implantology based on deep learning: Algorithm development and clinical translation[J]. 《Journal of Oral and Maxillofacial Surgery》, 2025, 35(5): 351-355.

李蕴朗, 厉超元. 基于深度学习的口腔种植数智化研究进展：算法开发与临床转化[J]. 《口腔颌面外科杂志》, 2025, 35(5): 351-355.

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URL: https://journal06.magtech.org.cn/Jweb_joms/EN/10.12439/kqhm.1005-4979.2025.05.003

https://journal06.magtech.org.cn/Jweb_joms/EN/Y2025/V35/I5/351

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References 33

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神经网络名称	定义	临床应用
ML	ML是AI的一个分支，是一种通过算法和模型使计算机从数据中自动学习并进行预测或决策的技术	数字化种植手术设计^[12，22]、种植手术机器人^{[9，11，23]}
ANN	ANN是由大量处理单元互联组成的非线性、自适应信息处理系统，是模拟大脑结构和功能的数学模型或计算模型，用于实现函数的估计或近似	分析种植术预后^[24-26]、优化种植导板制作^[27]
CNN	CNN是一种专为处理网格结构数据(如图像)设计的DL模型，通过卷积层提取局部特征、池化层压缩信息，并最终通过全连接层进行分类或回归等任务，常用来分析视觉图像	识别分割解剖结构^{[8，20-21，28]}、种植体周骨质丧失^[29-31]

神经网络名称	定义	临床应用
ML	ML是AI的一个分支，是一种通过算法和模型使计算机从数据中自动学习并进行预测或决策的技术	数字化种植手术设计^[12，22]、种植手术机器人^{[9，11，23]}
ANN	ANN是由大量处理单元互联组成的非线性、自适应信息处理系统，是模拟大脑结构和功能的数学模型或计算模型，用于实现函数的估计或近似	分析种植术预后^[24-26]、优化种植导板制作^[27]
CNN	CNN是一种专为处理网格结构数据(如图像)设计的DL模型，通过卷积层提取局部特征、池化层压缩信息，并最终通过全连接层进行分类或回归等任务，常用来分析视觉图像	识别分割解剖结构^{[8，20-21，28]}、种植体周骨质丧失^[29-31]

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