口腔颌面外科杂志2025,Vol.35Issue(1):43-47,5.DOI:10.12439/kqhm.1005-4979.2025.01.007
基于人工智能的多模态颌面部三维测量分析方法及进展
Multimodal maxillofacial 3D measurement and analysis methods based on artificial intelligence and their progress
摘要
Abstract
Cephalometric analysis is indispensable for orthodontic and orthognathic treatment.With the development of three-dimensional(3D)imaging technology,3D imaging is increasingly used to assess dentomaxillofacial deformity and formulate treatment plans.3D cephalometric analysis based on multi-modal data contains more anatomical information than traditional 2D cephalometric analysis,which can be used to conduct a more comprehensive diagnosis of patients with dentomaxillofacial deformities,and has become a research hotspot.However,its application is accompanied by the problem of time-consuming and laborious.In recent years,the emergence of artificial intelligence(AI)can assist in the automation of landmark positioning,data collection and analysis in 3D cephalometric measurement.In this article,research status and the auxiliary application of AI in 3D cephalometric analysis were reviewed and summarized.关键词
三维头影测量/牙颌面畸形/人工智能/三维体素/点云Key words
three-dimensional cephalometric analysis/dentomaxillofacial deformities/artificial intelligence/three-dimensional voxels/point cloud分类
口腔医学引用本文复制引用
向文祉,崔玮懿,陶乐然,于洪波..基于人工智能的多模态颌面部三维测量分析方法及进展[J].口腔颌面外科杂志,2025,35(1):43-47,5.基金项目
国家自然科学基金(81571022) (81571022)
上海市自然科学基金(23ZR1438100) (23ZR1438100)