目的:本文回顾了有限元模型(FEM)在个性化牙科中的应用,专注于治疗计划,材料选择,和CAD-CAM工艺。它还讨论了在牙科护理中使用有限元分析(FEA)的挑战和未来方向。
方法:本研究综合了个性化牙科中有关FEM的最新文献和案例研究,分析研究文章,临床报告,以及FEA在牙科生物力学中应用的技术论文。
方法:本评论的来源包括同行评审的期刊,学术出版物,临床案例研究,以及有关牙科生物力学和有限元分析的技术论文。关键数据库,如PubMed、Scopus,Embase,和ArXiv用于确定相关研究。
方法:根据FEM在个性化牙科中的应用相关性选择研究。纳入标准是讨论FEA在治疗计划中的应用的研究,材料选择,和牙科中的CAD-CAM流程。排除标准包括不专注于个性化牙科治疗或不使用FEM作为主要工具的研究。
结论:FEM对于个性化牙科至关重要,为计算机牙科生物力学建模提供了一个多功能平台。它们可以帮助预测生物力学行为,优化治疗结果,尽量减少临床并发症。尽管需要进一步的进步,FEM可以帮助显着提高个性化牙科护理的治疗精度和疗效。
结论:个性化牙科中的FEM具有显着提高治疗精度和疗效的潜力,优化结果并减少并发症。它们的整合强调了跨学科合作和计算技术进步以增强个性化牙科护理的必要性。
OBJECTIVE: This article reviews the applications of Finite Element Models (FEMs) in personalized dentistry, focusing on treatment planning, material selection, and CAD-CAM processes. It also discusses the challenges and future directions of using Finite Element Analysis (FEA) in dental care.
METHODS: This study synthesizes current literature and case studies on FEMs in personalized dentistry, analyzing research articles, clinical reports, and technical papers on the application of FEA in dental biomechanics.
METHODS: Sources for this review include peer-reviewed journals, academic publications, clinical case studies, and technical papers on dental biomechanics and Finite Element Analysis. Key databases such as PubMed, Scopus, Embase, and ArXiv were used to identify relevant studies.
METHODS: Studies were selected based on their relevance to the application of FEMs in personalized dentistry. Inclusion criteria were studies that discussed the use of FEA in treatment planning, material selection, and CAD-CAM processes in dentistry. Exclusion criteria included studies that did not focus on personalized dental treatments or did not utilize FEMs as a primary tool.
CONCLUSIONS: FEMs are essential for personalized dentistry, offering a versatile platform for in-silico dental biomechanics modeling. They can help predict biomechanical behavior, optimize treatment outcomes, and minimize clinical complications. Despite needing further advancements, FEMs could help significantly enhance treatment precision and efficacy in personalized dental care.
CONCLUSIONS: FEMs in personalized dentistry hold the potential to significantly improve treatment precision and efficacy, optimizing outcomes and reducing complications. Their integration underscores the need for interdisciplinary collaboration and advancements in computational techniques to enhance personalized dental care.