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迈向全自动化个性化骨科治疗:创新与跨学科差距。

Toward Fully Automated Personalized Orthopedic Treatments: Innovations and Interdisciplinary Gaps.

作者信息

Luo Yunhua

机构信息

Department of Mechanical Engineering, University of Manitoba, Winnipeg, MB R3T 2N2, Canada.

Biomedical Engineering (Graduate Program), University of Manitoba, Winnipeg, MB R3T 2N2, Canada.

出版信息

Bioengineering (Basel). 2024 Aug 12;11(8):817. doi: 10.3390/bioengineering11080817.

Abstract

Personalized orthopedic devices are increasingly favored for their potential to enhance long-term treatment success. Despite significant advancements across various disciplines, the seamless integration and full automation of personalized orthopedic treatments remain elusive. This paper identifies key interdisciplinary gaps in integrating and automating advanced technologies for personalized orthopedic treatment. It begins by outlining the standard clinical practices in orthopedic treatments and the extent of personalization achievable. The paper then explores recent innovations in artificial intelligence, biomaterials, genomic and proteomic analyses, lab-on-a-chip, medical imaging, image-based biomechanical finite element modeling, biomimicry, 3D printing and bioprinting, and implantable sensors, emphasizing their contributions to personalized treatments. Tentative strategies or solutions are proposed to address the interdisciplinary gaps by utilizing innovative technologies. The key findings highlight the need for the non-invasive quantitative assessment of bone quality, patient-specific biocompatibility, and device designs that address individual biological and mechanical conditions. This comprehensive review underscores the transformative potential of these technologies and the importance of multidisciplinary collaboration to integrate and automate them into a cohesive, intelligent system for personalized orthopedic treatments.

摘要

个性化骨科器械因其提高长期治疗成功率的潜力而越来越受到青睐。尽管各个学科都取得了重大进展,但个性化骨科治疗的无缝集成和完全自动化仍然难以实现。本文确定了在将先进技术集成和自动化以实现个性化骨科治疗方面的关键跨学科差距。文章首先概述了骨科治疗中的标准临床实践以及可实现的个性化程度。然后探讨了人工智能、生物材料、基因组和蛋白质组分析、芯片实验室、医学成像、基于图像的生物力学有限元建模、仿生学、3D打印和生物打印以及可植入传感器等方面的最新创新,强调了它们对个性化治疗的贡献。提出了利用创新技术解决跨学科差距的初步策略或解决方案。关键发现强调了对骨质量进行非侵入性定量评估、患者特异性生物相容性以及针对个体生物和机械状况的器械设计的必要性。这篇综述强调了这些技术的变革潜力以及多学科合作将它们集成并自动化为一个连贯的智能系统以实现个性化骨科治疗的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cca6/11351140/890667cc2a0f/bioengineering-11-00817-g001.jpg

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