摘要现代口腔诊疗中，获取完善的术前信息是后续进行准确术前规划、术中执行及预后判断的关键。然而，传统单模态口腔图像存在内容单一、精度影响因素多等不足，无法满足患者诊疗的高需求。多模态图像融合技术于20世纪90年代初被引入口腔医学领域，通过不同的融合算法对患者进行个性化数据分析，实现各模态图像优势互补的同时，为口腔诊疗新技术、新策略的开发提供有力支持。近年人工智能技术有效促进多模态图像融合配准的高效精准化发展，新质算法与网络的构建展现出人工智能在医学图像融合领域良好的技术适配性。本文系统综述多模态图像融合技术的发展历程及其在口腔医学领域的研究现状，并结合人工智能迅猛发展背景，浅析当前领域内的技术进展，以期为口腔诊疗发展提供新思路。

abstractsWithin the treatment process of modern stomatology, obtaining exquisite preoperative information is the key to accurate intraoperative planning with implementation and prognostic judgment. However, traditional single mode image has obvious shortcomings, such as "monotonous contents" and "unstable measurement accuracy", which could hardly meet the diversified needs of oral patients. Multimodal medical image fusion (MMIF) technique has been introduced into the studies of stomatology in the 1990s, aiming at realizing personalized patients′ data analysis through multiple fusion algorithms, which combines the advantages of multimodal medical images while laying a stable foundation for new treatment technologies. Recently artificial intelligence (AI) has significantly increased the precision and efficiency of MMIF′s registration: advanced algorithms and networks have confirmed the great compatibility between AI and MMIF. This article systematically reviews the development history of the multimodal image fusion technique and its current application in stomatology, while analyzing technological progresses within the domain combined with the background of AI′s rapid development, in order to provide new ideas for achieving new advancements within the field of stomatology.