Department of Dentistry, Wan-Fang Hospital, Taipei Medical University, Taipei 116, Taiwan; School of Dentistry, College of Oral Medicine, Taipei Medical University, Taipei 110, Taiwan.
Department of Dentistry, Wan-Fang Hospital, Taipei Medical University, Taipei 116, Taiwan; Center for Tooth Bank and Dental Stem Cell Technology, Taipei Medical University, Taipei 110, Taiwan; School of Dental Technology, College of Oral Medicine, Taipei Medical University, Taipei 110, Taiwan.
Dent Mater. 2024 Jan;40(1):19-27. doi: 10.1016/j.dental.2023.10.013. Epub 2023 Oct 17.
The unique structure of human teeth limits dental repair to custom-made solutions. The production process requires a lot of time and manpower. At present, artificial intelligence (AI) has begun to be used in the medical field and improve efficiency. This study attempted to design a variety of dental restorations using AI and evaluate their clinical applicability.
Using inlay and crown restoration types commonly used in dental standard models, we compared differences in artificial wax-up carving (wax-up), artificial digital designs (digital) and AI designs (AI). The AI system was designed using computer calculations, and the other two methods were designed by humans. Restorations were made by 3D printing resin material. Image evaluations were compared with cone beam computed tomography (CBCT) by calculating the root mean squared error.
Surface truth results showed that AI (68.4 µm) and digital-designed crowns (51.0 µm) had better reproducibility. Using AI for the crown reduced the time spent by 400% (compared to digital) and 900% (compared to wax-up). Optical microscopic and CBCT images showed that AI and digital designs had close margin gaps (p < 0.05). The margin gap of the crown showed that the wax-up group was 4.1 and 4.3 times greater than those of the AI and digital crowns, respectively. Therefore, the utilization of artificial intelligence can assist in the production of dental restorations, thereby enhancing both production efficiency and accuracy.
It is expected that the development of AI can contribute to the reproducibility, efficiency, and goodness of fit of dental restorations.
人类牙齿的独特结构限制了牙齿修复只能采用定制解决方案。其生产过程需要耗费大量的时间和人力。目前，人工智能（AI）已开始应用于医疗领域，以提高效率。本研究试图使用 AI 设计各种牙修复体，并评估其临床适用性。
使用牙标准模型中常用的嵌体和牙冠修复类型，我们比较了人工蜡型雕刻（蜡型）、人工数字设计（数字）和 AI 设计（AI）之间的差异。AI 系统通过计算机计算设计，另外两种方法由人类设计。使用 3D 打印树脂材料制作修复体。通过计算均方根误差，使用锥形束 CT（CBCT）对图像评估进行比较。
表面真实结果表明，AI（68.4 μm）和数字设计的牙冠（51.0 μm）具有更好的可重复性。使用 AI 设计牙冠可将时间缩短 400%（与数字设计相比）和 900%（与蜡型相比）。光学显微镜和 CBCT 图像显示，AI 和数字设计的边缘间隙接近（p<0.05）。牙冠的边缘间隙表明，蜡型组比 AI 和数字牙冠组分别大 4.1 倍和 4.3 倍。因此，人工智能的应用可以辅助牙修复体的制作，从而提高生产效率和准确性。
预计 AI 的发展可以提高牙修复体的可重复性、效率和适合性。
