A brief introduction to concepts and applications of artificial intelligence in dental imaging

被引:22
|
作者
Pauwels, Ruben [1 ]
机构
[1] Aarhus Univ, Aarhus Inst Adv Studies, Hoegh Guldbergs Gade 6B, DK-8000 Aarhus C, Denmark
基金
欧盟地平线“2020”;
关键词
Artificial intelligence; Machine learning; Deep learning; Dentistry; Radiology; CONVOLUTIONAL NEURAL-NETWORK; DEEP; CLASSIFICATION; DIAGNOSIS;
D O I
10.1007/s11282-020-00468-5
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
This report aims to summarize the fundamental concepts of Artificial Intelligence (AI), and to provide a non-exhaustive overview of AI applications in dental imaging, comprising diagnostics, forensics, image processing and image reconstruction. AI has arguably become the hottest topic in radiology in recent years owing to the increased computational power available to researchers, the continuing collection of digital data, as well as the development of highly efficient algorithms for machine learning and deep learning. It is now feasible to develop highly robust AI applications that make use of the vast amount of data available to us, and that keep learning and improving over time.
引用
收藏
页码:153 / 160
页数:8
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