Application of artificial intelligence in the identification of dental implant systems: a literature review

Abstract

Artificial intelligence (AI) can be used across multiple disciplines and has also found application in the dental field. Although there have not been many studies on AI-related to dental implants, identification of implant systems in radiographic images using AI is being actively researched. The purpose of this study was to review articles related to the application of AI for the identification of dental implant systems. A systematic review was conducted using the Pubmed and Scopus databases to identify English language articles about AI and dental implant systems. Factors such as implant systems, data modality, sample size, training time, validation method, AI method, accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) were extracted from the 4 selected articles. All the surveyed research adopted pre-trained convolutional neural networks as the AI method. The accuracy of AI in finding the correct implant system ranged from 51 to 99.5 percent.