AUTHOR=Luo Feng , Hong Guang , Wan Qianbing 

TITLE=Artificial Intelligence in Biomedical Applications of Zirconia

JOURNAL=Frontiers in Dental Medicine

VOLUME=Volume 2 - 2021

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 a branch of computer science concerned with building intelligent software or machines capable of performing tasks that typically require human intelligence. Machine learning (ML) addresses the question of how to build computers that improve automatically through experience. AI and ML are today’s most rapidly growing technical fields, lying at the intersection of computer science and statistics and the core of artificial intelligence and data science. Zirconia has drawn lots of attention in dentistry due to its excellent biocompatibility, aesthetically pleasing, high corrosion resistance, and the absence of reported allergic reactions. 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 vary according to the application direction of zirconia. This article focuses on AI in biomedical applications of zirconia in dental devices and AI in zirconia-related applications in dentistry.