Abstract
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.
Highlights
Digital technology is widely applied in dentistry, and it plays an essential role in many aspects, such as clinical treatment, laboratory procedures, student training, practice management, and dental research [1]
The evolution of Artificial intelligence (AI) and machine learning (ML) led to the development of novel approaches for the biomedical applications of zirconia in dental devices
Pjetursson et al investigated the survival rates and technical, biologic, and aesthetic complication rates of implant—supported zirconia crowns and implant— supported metal—ceramic crowns systemically in 2018 [24]. They reported that the 5-year sur-vival rate of zirconia-based implant-supported single crowns was 97.6%, and it showed a similar incidence of biological complications and fewer aesthetic problems
Summary
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. 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. 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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