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| http://dx.doi.org/10.1093/cid/ciaa1883 | DOI Listing |
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In modern knee arthroplasty, surgeons increasingly aim for individualised implant selection based on data-driven decisions to improve patient satisfaction rates. The identification of an implant design that optimally fits to a patient's native kinematic patterns and functional requirements could provide a basis towards subject-specific phenotyping. The goal of this study was to achieve a first step towards identifying easily accessible and intuitive features that allow for discrimination between implant designs based on kinematic data.
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College of Materials Science and Engineering, Nanjing Tech University, Nanjing 211816, PR China. Electronic address:
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