Artificial Intelligence in Biomedical Applications of Zirconia

被引:1
|
作者
Luo, Feng [1 ]
Hong, Guang [2 ,3 ]
Wan, Qianbing [1 ]
机构
[1] Sichuan Univ, Natl Clin Res Ctr Oral Dis, West China Sch Stomatol, State Key Lab Oral Dis, Chengdu, Peoples R China
[2] Tohoku Univ, Liaison Ctr Innovat Dent, Grad Sch Dent, Sendai, Japan
[3] Airlangga Univ, Fac Dent Med, Dept Prosthet Dent, Surabaya, Indonesia
来源
关键词
artificial intelligence; machine learning; zirconia; esthetics; biomedical applications; NEURAL-NETWORK; SYSTEM; WEAR; DENTISTRY; ACCURACY; SURVIVAL; COLOR;
D O I
10.3389/fdmed.2021.689288
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
Artificial intelligence (AI) is rapidly developed based on computer technology, which can perform tasks that customarily require human intelligence by building intelligent software or machines. As a subfield of AI, machine learning (ML) can learn from the intrinsic statistical patterns and structures in data through algorithms to predict invisible data. With the increasing interest in aesthetics in dentistry, zirconia has drawn lots of attention due to its superior biocompatibility, aesthetically pleasing, high corrosion resistance, good mechanical properties, and absence of reported allergic reactions. The evolution of AI and ML led to the development of novel approaches for the biomedical applications of zirconia in dental devices. AI techniques in zirconia-related research and clinical applications have attracted much attention due to their ability to analyze data and reveal correlations between complex phenomena. The AI applications in the field of zirconia science change according to the application direction of zirconia. Therefore, in this article, we focused on AI in biomedical applications of zirconia in dental devices and AI in zirconia-related applications in dentistry.
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页数:9
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