Multimodal maxillofacial 3D measurement and analysis methods based on artificial intelligence and their progress
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...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Oral and Maxillofacial Surgery
2025-02-01
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| Series: | Kouqiang hemian waike zazhi |
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| Online Access: | https://journal06.magtech.org.cn/Jweb_joms/EN/10.12439/kqhm.1005-4979.2025.01.007 |
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| author | XIANG Wenzhi CUI Weiyi TAO Leran YU Hongbo |
| author_facet | XIANG Wenzhi CUI Weiyi TAO Leran YU Hongbo |
| author_sort | XIANG Wenzhi |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-bd76b04f5e324348838712ff97cb743d |
| institution | Kabale University |
| issn | 1005-4979 |
| language | zho |
| publishDate | 2025-02-01 |
| publisher | Editorial Office of Journal of Oral and Maxillofacial Surgery |
| record_format | Article |
| series | Kouqiang hemian waike zazhi |
| spelling | doaj-art-bd76b04f5e324348838712ff97cb743d2025-08-25T06:12:00ZzhoEditorial Office of Journal of Oral and Maxillofacial SurgeryKouqiang hemian waike zazhi1005-49792025-02-01351434710.12439/kqhm.1005-4979.2025.01.007Multimodal maxillofacial 3D measurement and analysis methods based on artificial intelligence and their progressXIANG Wenzhi0CUI Weiyi1TAO Leran2YU Hongbo3College of Stomatology, Shanghai Jiao Tong University, Shanghai 200125College of Stomatology, Shanghai Jiao Tong University, Shanghai 200125College of Stomatology, Shanghai Jiao Tong University, Shanghai 200125Department of Craniomaxillofacial Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, National Center for Stomatology, National Clinical Research Center of Stomatology, Shanghai 200011, ChinaCephalometric 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.https://journal06.magtech.org.cn/Jweb_joms/EN/10.12439/kqhm.1005-4979.2025.01.007three-dimensional cephalometric analysisdentomaxillofacial deformitiesartificial intelligencethree-dimensional voxelspoint cloud |
| spellingShingle | XIANG Wenzhi CUI Weiyi TAO Leran YU Hongbo Multimodal maxillofacial 3D measurement and analysis methods based on artificial intelligence and their progress Kouqiang hemian waike zazhi three-dimensional cephalometric analysis dentomaxillofacial deformities artificial intelligence three-dimensional voxels point cloud |
| title | Multimodal maxillofacial 3D measurement and analysis methods based on artificial intelligence and their progress |
| title_full | Multimodal maxillofacial 3D measurement and analysis methods based on artificial intelligence and their progress |
| title_fullStr | Multimodal maxillofacial 3D measurement and analysis methods based on artificial intelligence and their progress |
| title_full_unstemmed | Multimodal maxillofacial 3D measurement and analysis methods based on artificial intelligence and their progress |
| title_short | Multimodal maxillofacial 3D measurement and analysis methods based on artificial intelligence and their progress |
| title_sort | multimodal maxillofacial 3d measurement and analysis methods based on artificial intelligence and their progress |
| topic | three-dimensional cephalometric analysis dentomaxillofacial deformities artificial intelligence three-dimensional voxels point cloud |
| url | https://journal06.magtech.org.cn/Jweb_joms/EN/10.12439/kqhm.1005-4979.2025.01.007 |
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