AI-Integrated 3D imaging and modelling for hip morphology assessment in athletes.

IF 1.7 4区 医学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Jiaju Zhu, Zijun Ye, Zhong Zhang, Junyi Liu, Syed Luqman Ali
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引用次数: 0

Abstract

Hip injuries are a prevalent concern among athletes, often resulting in significant declines in performance and overall quality of life. Conventional treatment modalities for hip morphological abnormalities come with inherent limitations, necessitating a deeper exploration of innovative approaches to address these challenges. This research aims to investigate the potential of 3D technology in reducing hip morphology and enhancing structural integrity among athletes, thereby offering novel solutions to mitigate the impact of hip injuries within the athletic community. Utilizing advanced imaging techniques and state-of-the-art 3D mimics software and AI HIP, this study endeavors to generate precise 3D models of athletes' hip structures. These models serve as the foundation for the fabrication of customized implants or orthotics using biocompatible materials, meticulously tailored to meet the unique anatomical needs of individual athletes. The results of this study demonstrate the effectiveness of 3D technology in reducing hip morphology and enhancing structural integrity among athletes. Through the utilization of advanced imaging techniques, AI HIP and 3D mimics software, precise 3D models of athletes' hip structures were successfully generated. Subsequently, customized implants or orthotics fabricated using biocompatible materials were shown to be tailored to individual athletes' anatomical needs. This study highlights the transformative potential of 3D in revolutionizing hip injury prevention and treatment among athletes. Through advanced imaging and innovative software, customized solutions can address hip abnormalities, enhancing performance and quality of life. This research opens avenues for further exploration of 3D technology in sports medicine, providing tailored interventions to improve clinical outcomes for athletes.

运动员髋关节形态评估的ai集成三维成像和建模。
髋关节损伤是运动员普遍关注的问题,通常会导致表现和整体生活质量的显著下降。髋关节形态异常的传统治疗方式具有固有的局限性,需要更深入地探索创新方法来应对这些挑战。本研究旨在探讨3D技术在减少运动员髋关节形态和增强结构完整性方面的潜力,从而为减轻运动员髋关节损伤的影响提供新的解决方案。利用先进的成像技术和最先进的3D模拟软件和人工智能髋关节,本研究努力生成运动员髋关节结构的精确3D模型。这些模型作为使用生物相容性材料制造定制植入物或矫形器的基础,精心定制以满足个体运动员独特的解剖需求。本研究的结果证明了3D技术在减少运动员髋关节形态和增强结构完整性方面的有效性。利用先进的成像技术、AI HIP和3D模拟软件,成功生成了运动员髋关节结构的精确3D模型。随后,使用生物相容性材料制作的定制植入物或矫形器被证明是根据运动员的解剖需求量身定制的。这项研究强调了3D在运动员髋关节损伤预防和治疗方面的革命性潜力。通过先进的成像和创新的软件,定制的解决方案可以解决髋关节异常,提高性能和生活质量。这项研究为进一步探索3D技术在运动医学中的应用开辟了道路,为运动员提供量身定制的干预措施,以改善临床结果。
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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来源期刊
CiteScore
4.10
自引率
6.20%
发文量
179
审稿时长
4-8 weeks
期刊介绍: The primary aims of Computer Methods in Biomechanics and Biomedical Engineering are to provide a means of communicating the advances being made in the areas of biomechanics and biomedical engineering and to stimulate interest in the continually emerging computer based technologies which are being applied in these multidisciplinary subjects. Computer Methods in Biomechanics and Biomedical Engineering will also provide a focus for the importance of integrating the disciplines of engineering with medical technology and clinical expertise. Such integration will have a major impact on health care in the future.
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