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微创脊柱手术中的远程机器人技术:全面文献综述

Remote Robotic Technology in Minimally Invasive Spinal Surgery: A Comprehensive Literature Review.

作者信息

Karimi Aliasghar, Pedramfard Pegah, Zakeri Habib, Rahnama Behnam, Radmehr Mohammad, Moalemi Saba, Montazeri Leala

机构信息

Research Center for Neuromodulation and Pain, Shiraz University of Medical Sciences, Shiraz, Iran.

出版信息

Int J Telemed Appl. 2025 Aug 6;2025:6131682. doi: 10.1155/ijta/6131682. eCollection 2025.

DOI:10.1155/ijta/6131682
PMID:40809461
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12350008/
Abstract

Telerobotic spinal surgery (TSS) has emerged as a transformative approach for spinal interventions that combines robotics and telecommunication to enable remote surgery with enhanced precision and accessibility. This technology can potentially address the challenges of complex spinal conditions by providing minimally invasive solutions and delivering specialized surgical expertise across geographical boundaries. However, technical complexities related to communication and latency, haptic feedback, and system integration need to be addressed. Ethical and regulatory considerations also require careful navigation. Despite these challenges, the limited number of available clinical studies demonstrates the feasibility and efficacy of TSS, particularly with the use of 5G technology. Further research and clinical trials are needed to fully evaluate and validate the outcomes and effectiveness of TSS. With ongoing efforts in research and development, TSS has the potential to revolutionize spine surgery and improve patient care. In this review, we present the role and the challenges of TSS in spinal surgery.

摘要

远程机器人脊柱手术(TSS)已成为脊柱干预的一种变革性方法,它将机器人技术与通信技术相结合,以实现具有更高精度和可及性的远程手术。这项技术通过提供微创解决方案并跨越地理界限提供专业手术专业知识,有可能应对复杂脊柱疾病的挑战。然而,与通信和延迟、触觉反馈以及系统集成相关的技术复杂性需要得到解决。伦理和监管方面的考虑也需要谨慎应对。尽管存在这些挑战,但现有的临床研究数量有限,证明了TSS的可行性和有效性,特别是在使用5G技术的情况下。需要进一步的研究和临床试验来全面评估和验证TSS的结果和有效性。随着研发工作的不断推进,TSS有潜力彻底改变脊柱手术并改善患者护理。在这篇综述中,我们阐述了TSS在脊柱手术中的作用和挑战。

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本文引用的文献

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Real-time haptic characterisation of Hunt-Crossley model based on radial basis function neural network for contact environment.基于径向基函数神经网络的接触环境中 Hunt-Crossley 模型的实时触觉特征描述。
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