Digital Twin of a Musculoskeletal System

Abraham George, C.R Bharat, Trisha Singh, Chandra Shekhar Sahil
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Abstract

We are living in a digital age, and recent the pandemic conditions have necessitated faster and larger innovation in the health industry which has created new business models and opportunities in healthcare. Biochemical modelling and computer simulation together have enabled novel solutions in healthcare. Computer based simulations in healthcare has created possibilities where doctors can use 3D models to perform a low-cost surgery and develop accurate procedures specific to a patient. Open Sim developed at Stanford University is an open-source software system to simulate models of musculoskeletal structures and create dynamic simulations of movements. OpenSim also includes OSGrid which helps the community to develop, test, share content, discuss on a virtual whiteboard, and do social events. The goal of this paper is to simulate specific Musculo skeleton treatment scenarios and use machine learning algorithms to estimate or rather predict the impact of changes during the surgery.
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肌肉骨骼系统的数字双胞胎
我们生活在数字时代,最近的大流行状况要求卫生行业进行更快、更大规模的创新,从而在卫生保健领域创造了新的商业模式和机会。生化建模和计算机模拟一起为医疗保健提供了新的解决方案。在医疗保健领域,基于计算机的模拟创造了可能性,医生可以使用3D模型来进行低成本的手术,并为患者制定准确的手术程序。斯坦福大学开发的Open Sim是一个开源软件系统,用于模拟肌肉骨骼结构模型并创建动态运动模拟。OpenSim还包括OSGrid,它可以帮助社区开发、测试、共享内容、在虚拟白板上讨论和开展社交活动。本文的目标是模拟特定的肌肉骨骼治疗场景,并使用机器学习算法来估计或预测手术过程中变化的影响。
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