Artificial intelligence in use of ZrO2 material in biomedical science

Review paper




Biomedical engineering, artificial intelligence, machine learning, zirconia
Graphical Abstract


The rapidly growing discipline of artificial intelligence (AI) seeks to develop software and computers that can do tasks that have historically required the intelligence of people. Machine learning (ML) is a subfield of AI that makes use of algorithms to "learn" from data's innate statistical patterns and structures to extrapolate information that is otherwise hidden. A growing emphasis on cosmetic dentistry has coincided with rise of ZrO2 to prominence as a result of its improved biocompatibility, visually pleasant look, strong oxidation resistance, better mechanical properties, and lack of documented allergic responses. Advances in the field of AI and ML have led to novel applications of ZrO2 in dental devices for biological objectives. Artificial intelligence (AI) technologies have attracted a lot of attention in ZrO2-related research and therapeutic applications due to their ability to analyze data and discover connections between seemingly unrelated events. Specifically, their incorporation into zirconia is largely responsible for this. Versatility of zirconia in the scientific community means that how AI is used in the area varies with the specific directions in which zirconia is utilized. Therefore, this article primarily focuses on the use of AI in the biomedical use of ZrO2 in dentistry.


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21-10-2022 — Updated on 21-10-2022

How to Cite

Singh, J., Singh, S., & Verma, A. (2022). Artificial intelligence in use of ZrO2 material in biomedical science: Review paper. Journal of Electrochemical Science and Engineering, 13(1), 83–97.