Author(s) :

Seongbhin Park.

Volume/Issue :

Abstract :

Artificial intelligence (AI) and robotic technologies have been rapidly transforming modern dentistry. However, it still remains limited to compare technology-assisted and human-only dental workflows in standardized quantitative manner. This study specifically seeks to answer whether AI-assisted and robot-assisted dental systems demonstrate higher modeled performance than human-only workflows in terms of technical performance or not. This study hypothesized that diagnostic speed and precision may be significantly enhanced by AI-assisted systems, and procedural reliability and accuracy may be maximized by robot-assisted systems compared to human-only care. With the publicly available Multimodal Dental Dataset (MDD), a total of 162 complete cases are compared with cone-beam calculated tomography (CBCT), panoramic, and periapical imaging, while generating a simulationbased modeling framework developed to assess three main technical dimensions of precision, speed, and reliability. Imaging resolution and exposure time were utilized as quantitative proxies, while applying performance adjustments grounded in prior published literature to conduct simulation of AI-assisted and robot-assisted workflows. Simulations results in this study indicated that both AI-assisted and robotassisted systems were consistently modeled with technical advantages across all modalities. Higher modeled precision (0.91) and modeled speed (0.95) was achieved by AI-assisted systems compared to human-only workflows (0.82 and 0.80, respectively). Highest modeled precision (0.96) and modeled reliability (0.97) was achieved by robot-assisted systems. Higher modeled outcomes for AI-assisted (0.94) and robot-assisted (0.96) were confirmed by aggregated performance indices when compared to humanonly care (0.84). The findings in this study support a hybrid model of dentistry to adopt augmentation of technology rather than replacing human clinical expertise.