Discussion on the possibility of multi-layer intelligent technologies to achieve the best recover of musculoskeletal injuries: Smart materials, variable structures, and intelligent therapeutic planning

Author:

Guo Na,Tian Jiawen,Wang Litao,Sun Kai,Mi Lixin,Ming Hao,Zhe Zhao,Sun Fuchun

Abstract

Although intelligent technologies has facilitated the development of precise orthopaedic, simple internal fixation, ligament reconstruction or arthroplasty can only relieve pain of patients in short-term. To achieve the best recover of musculoskeletal injuries, three bottlenecks must be broken through, which includes scientific path planning, bioactive implants and personalized surgical channels building. As scientific surgical path can be planned and built by through AI technology, 4D printing technology can make more bioactive implants be manufactured, and variable structures can establish personalized channels precisely, it is possible to achieve satisfied and effective musculoskeletal injury recovery with the progress of multi-layer intelligent technologies (MLIT).

Funder

National Natural Science Foundation of China

Publisher

Frontiers Media SA

Subject

Biomedical Engineering,Histology,Bioengineering,Biotechnology

Reference159 articles.

1. A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation;Abraham,2018

2. Acoustically powered surface-slipping mobile microrobots;Aghakhani;Proc. Natl. Acad. Sci. U. S. A.,2020

3. 3D computational anatomy of the scaphoid and its waist for use in fracture treatment;Ahrend;J. Orthop. Surg. Res.,2021

4. Control of the coupled motion of a 6 DoF robotic arm and a continuum manipulator for the treatment of pelvis osteolysis;Alambeigi;Annu. Int. Conf. IEEE Eng. Med. Biol. Soc.,2014

5. Toward robot-assisted hard osteolytic lesion treatment using a continuum manipulator;Alambeigi;Annu. Int. Conf. IEEE Eng. Med. Biol. Soc.,2016

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