股骨干骨折双模机器人辅助钢板植入方法研究。

IF 2.3 3区医学 Q2 SURGERY

International Journal of Medical Robotics and Computer Assisted Surgery Pub Date : 2024-11-29 DOI:10.1002/rcs.70008

Yanchao Guo, Yimiao Chen, Xianzheng Zhou, Jianping Bi, Jason Z. Moore, Qinhe Zhang

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引用次数: 0

摘要

背景：微创内固定是治疗股骨干骨折的首选方法。然而，在钢板植入过程中存在着不可见、不准确、不稳定等问题。方法：本文提出了一种结合起点确定算法、运动捕捉、深度学习和机器人技术的双模机器人辅助钢板植入方法。结果：神经网络模型根据患者情况规划钢板植入轨迹。然后，利用机械臂高稳定性和高精度的优点进行钢板植入。结论：该方法获得的钢板植入轨迹变化趋势及波动符合临床要求。此外，机械臂植入过程是安全的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Dual-Mode Robot-Assisted Plate Implantation Method for Femoral Shaft Fracture

Background

Minimally invasive internal fixation is the preferred treatment option for femoral shaft fractures. However, there are problems such as invisibility, inaccuracy and instability in the process of plate implantation.

Methods

In this paper, a dual-mode robot-assisted plate implantation method was proposed by combining a starting point determination algorithm, motion capture, deep learning and robotics.

Results

The neural network model planned the plate implantation trajectory according to patient's condition. Then, the advantages of high stability and high precision of the robotic arm were used for plate implantation.

Conclusion

The trend and fluctuation of the plate implantation trajectories obtained using this method met clinical requirements. Furthermore, the robotic arm implantation process was safe.

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来源期刊

International Journal of Medical Robotics and Computer Assisted Surgery 医学-外科

CiteScore

4.50

自引率

12.00%

发文量

131

审稿时长

6-12 weeks

期刊介绍： The International Journal of Medical Robotics and Computer Assisted Surgery provides a cross-disciplinary platform for presenting the latest developments in robotics and computer assisted technologies for medical applications. The journal publishes cutting-edge papers and expert reviews, complemented by commentaries, correspondence and conference highlights that stimulate discussion and exchange of ideas. Areas of interest include robotic surgery aids and systems, operative planning tools, medical imaging and visualisation, simulation and navigation, virtual reality, intuitive command and control systems, haptics and sensor technologies. In addition to research and surgical planning studies, the journal welcomes papers detailing clinical trials and applications of computer-assisted workflows and robotic systems in neurosurgery, urology, paediatric, orthopaedic, craniofacial, cardiovascular, thoraco-abdominal, musculoskeletal and visceral surgery. Articles providing critical analysis of clinical trials, assessment of the benefits and risks of the application of these technologies, commenting on ease of use, or addressing surgical education and training issues are also encouraged. The journal aims to foster a community that encompasses medical practitioners, researchers, and engineers and computer scientists developing robotic systems and computational tools in academic and commercial environments, with the intention of promoting and developing these exciting areas of medical technology.