Role of AI in Advanced Dental Imaging: A Systematic Review

Abstract

Artificial intelligence (AI) is revolutionizing dental imaging, enhancing diagnostic accuracy, efficiency, and time management in clinical practices. This paper systematically reviews the applications of AI in dental imaging, focusing on in-vitro studies that examine AI-driven methods for tooth segmentation, caries detection, bone segmentation, and 3D model creation. Through meta-analysis, we evaluate the performance of AI models in terms of diagnostic accuracy, including True Positive Rate (TPR), True Negative Rate (TNR), Positive Predictive Value (PPV), and Negative Predictive Value (NPV). Despite its promising potential, the integration of AI into clinical practice faces challenges related to data quality, model generalization, and ethical concerns. The paper concludes with insights into the future implications of AI, including its integration with other emerging technologies like 3D printing and robotic surgery. The successful implementation of AI in dentistry requires further clinical validation and resolution of existing limitations.