[Research of decision-making artificial intelligence for oral implantation].

Abstract

The oral implant surgery robot could achieved basic "surgical operation intelligence"; however, "decision-making artificial intelligence" has not yet been achieved. The author previously discussed the specific concept of decision-making artificial intelligence. During our exploration of decision-making artificial intelligence, our team further integrated the clinical diagnosis and treatment process of oral implantation, along with the data characteristics of decision indicators and the distribution characteristics of demographic information. As a result, we identified five key scientific and technological issues in the process of decision-making artificial intelligence, namely the construction of a specialized annotation database for oral implantation, the prediction of quantitative indicators, the application of three-dimensional imaging, the solution of data imbalance within indicators, and the joint output of multi-property and multimodal indicators in clinical pathways. This paper will review artificial intelligence research in oral implantology and our team's research progress, elaborating on the aforementioned challenges in intelligentization. It aims to provide references for addressing the mentioned scientific issues and guiding future research directions in the construction of decision-making artificial intelligence in oral medicine.