Artificial intelligence in dentomaxillofacial radiology

被引:4
|
作者
Gokdeniz, Seyide Tugce [1 ]
Kamburoglu, Kivanc [1 ]
机构
[1] Ankara Univ, Fac Dent, Dept Dentomaxillofacial Radiol, TR-06500 Ankara, Turkey
来源
WORLD JOURNAL OF RADIOLOGY | 2022年 / 14卷 / 03期
关键词
Artificial intelligence; Diagnostic imaging; Radiology; Dentistry; LANDMARK;
D O I
10.4329/wjr.v14.i3.55
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Artificial intelligence (AI) has the potential to revolutionize healthcare and dentistry. Recently, there has been much interest in the development of AI applications. Dentomaxillofacial radiology (DMFR) is within the scope of these applications due to its compatibility with image processing methods. Classification and segmentation of teeth, automatic marking of anatomical structures and cephalometric analysis, determination of early dental diseases, gingival, periodontal diseases and evaluation of risk groups, diagnosis of certain diseases, such as; osteoporosis that can be detected in jaw radiographs are among studies conducted by using radiological images. Further research in the field of AI will make great contributions to DMFR. We aim to discuss most recent AI-based studies in the field of DMFR.
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页数:6
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