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Updated: Feb 1, 2026

In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty
07:33

In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty

Published on: May 5, 2023

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基于机器学习的预测,从手术内膝关节松数据,在膝关节整形术中预测带插入厚度

Prudhvi Tej Chinimilli1, Laurent D Angibaud1, Amaury Jung2

  • 1Advita Ortho, Gainesville, Florida, USA.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society
|January 31, 2026
PubMed
概括

机器学习模型可以预测在全膝关节整形术 (TKA) 中的带插入厚度,从而改善手术决策. 这些模型有助于标准化植入物选择,以便在膝关节关节炎治疗中获得更好的患者结果.

关键词:
关节松性 关节松性 关节松性机器学习是机器学习.带插入物厚度 带插入物厚度整体膝关节关节整形手术

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