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TECHNOLOGIES FOR INTRA-OPERATIVE LIGAMENT BALANCING USING MACHINE LEARNING

机译:机器学习的术中韧带平衡技术

摘要

A computing system having at least one sensor, at least one processor, and at least one memory including a plurality of instructions stored thereon that, in response to execution by the at least one processor, causes the computing system to receive one or more surgical parameters associated with a ligament balancing of a patient's joint, receive real-time sensor data generated by the at least one sensor and indicative of at least one characteristic of the patient's joint, and apply machine learning to determine a next ligament balancing step of the ligament balancing of the patient's joint based on the one or more surgical parameters and the real-time sensor data, wherein the next ligament balancing step is a step of one or more steps intended to result in a target state of the patient's joint identified by the machine learning.
机译:一种具有至少一个传感器,至少一个处理器和至少一个存储器的计算机系统,所述存储器包括在其上存储的多个指令,所述指令响应于所述至少一个处理器的执行而使所述计算机系统接收一个或多个外科手术参数与患者关节的韧带平衡相关联,接收由至少一个传感器生成并指示患者关节的至少一个特征的实时传感器数据,并应用机器学习来确定韧带平衡的下一个韧带平衡步骤基于一个或多个外科手术参数和实时传感器数据的关节运动,其中下一个韧带平衡步骤是一个或多个步骤的一个步骤,旨在通过机器学习识别出患者关节的目标状态。

著录项

  • 公开/公告号WO2018144872A1

    专利类型

  • 公开/公告日2018-08-09

    原文格式PDF

  • 申请/专利权人 SMITH & NEPHEW INC.;

    申请/专利号WO2018US16652

  • 发明设计人 MCKINNON BRIAN W.;LASTER SCOTT;

    申请日2018-02-02

  • 分类号A61B5/11;A61F2/38;A61F2/46;A61B5;

  • 国家 WO

  • 入库时间 2022-08-21 12:43:04

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