AUTHOR=Luo Feng , Hong Guang , Wan Qianbing TITLE=Artificial Intelligence in Biomedical Applications of Zirconia JOURNAL=Frontiers in Dental Medicine VOLUME=2 YEAR=2021 URL=https://www.frontiersin.org/journals/dental-medicine/articles/10.3389/fdmed.2021.689288 DOI=10.3389/fdmed.2021.689288 ISSN=2673-4915 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.