A critical review of additive manufacturing technology in rehabilitation medicine via the use of visual knowledge graph
Rehabilitation medicine (RM) requires more personalisation than any other treatment in the medical domain. Additive manufacturing (AM) is a promising candidate for providing customised tools to improve performance but reduce cost and complexity of personalisation. Research and applications of AM in...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-01-01
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| Series: | Virtual and Physical Prototyping |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/17452759.2022.2132265 |
| _version_ | 1797678639952691200 |
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| author | Weihua Lu Wenxin He Jiaming Wu Yicha Zhang |
| author_facet | Weihua Lu Wenxin He Jiaming Wu Yicha Zhang |
| author_sort | Weihua Lu |
| collection | DOAJ |
| description | Rehabilitation medicine (RM) requires more personalisation than any other treatment in the medical domain. Additive manufacturing (AM) is a promising candidate for providing customised tools to improve performance but reduce cost and complexity of personalisation. Research and applications of AM in the RM field are receiving increasing attention. This paper aims to identify the research status and development trend via visual analysis of literature. At first, core publications from representative domain journals and conference proceedings were extracted as source data for the inputs of statistical analysis. Secondly, keyword visualisation analysis provides research hotspots and technological developments to summarise the research frontiers. Finally, visual knowledge graphs were constructed to show the emerging trends, including digital solutions, lifecycle treatment, and multiple-supporter rehabilitation services, in this special interdisciplinary field. Specially, digital methods with AM and associated services will be one of the principle roadmaps for personalised RM in the future. |
| first_indexed | 2024-03-11T23:02:52Z |
| format | Article |
| id | doaj.art-a8f2260cdf434267b45ee58ecf3b6637 |
| institution | Directory Open Access Journal |
| issn | 1745-2759 1745-2767 |
| language | English |
| last_indexed | 2024-03-11T23:02:52Z |
| publishDate | 2023-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Virtual and Physical Prototyping |
| spelling | doaj.art-a8f2260cdf434267b45ee58ecf3b66372023-09-21T14:38:03ZengTaylor & Francis GroupVirtual and Physical Prototyping1745-27591745-27672023-01-0118110.1080/17452759.2022.21322652132265A critical review of additive manufacturing technology in rehabilitation medicine via the use of visual knowledge graphWeihua Lu0Wenxin He1Jiaming Wu2Yicha Zhang3Nanjing University of Aeronautics and AstronauticsNanjing University of Aeronautics and AstronauticsNanjing University of Aeronautics and AstronauticsUniversité de Technologie Belfort-MontbéliardRehabilitation medicine (RM) requires more personalisation than any other treatment in the medical domain. Additive manufacturing (AM) is a promising candidate for providing customised tools to improve performance but reduce cost and complexity of personalisation. Research and applications of AM in the RM field are receiving increasing attention. This paper aims to identify the research status and development trend via visual analysis of literature. At first, core publications from representative domain journals and conference proceedings were extracted as source data for the inputs of statistical analysis. Secondly, keyword visualisation analysis provides research hotspots and technological developments to summarise the research frontiers. Finally, visual knowledge graphs were constructed to show the emerging trends, including digital solutions, lifecycle treatment, and multiple-supporter rehabilitation services, in this special interdisciplinary field. Specially, digital methods with AM and associated services will be one of the principle roadmaps for personalised RM in the future.http://dx.doi.org/10.1080/17452759.2022.2132265rehabilitation medicinemedical treatmentvisual knowledge graphstatistical analysisadditive manufacturing |
| spellingShingle | Weihua Lu Wenxin He Jiaming Wu Yicha Zhang A critical review of additive manufacturing technology in rehabilitation medicine via the use of visual knowledge graph Virtual and Physical Prototyping rehabilitation medicine medical treatment visual knowledge graph statistical analysis additive manufacturing |
| title | A critical review of additive manufacturing technology in rehabilitation medicine via the use of visual knowledge graph |
| title_full | A critical review of additive manufacturing technology in rehabilitation medicine via the use of visual knowledge graph |
| title_fullStr | A critical review of additive manufacturing technology in rehabilitation medicine via the use of visual knowledge graph |
| title_full_unstemmed | A critical review of additive manufacturing technology in rehabilitation medicine via the use of visual knowledge graph |
| title_short | A critical review of additive manufacturing technology in rehabilitation medicine via the use of visual knowledge graph |
| title_sort | critical review of additive manufacturing technology in rehabilitation medicine via the use of visual knowledge graph |
| topic | rehabilitation medicine medical treatment visual knowledge graph statistical analysis additive manufacturing |
| url | http://dx.doi.org/10.1080/17452759.2022.2132265 |
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