首页> 外国专利> A MACHINE LEARNING ENABLED MODEL TO OPTIMIZE DESIGN OF OSSEOINTEGRATION-FRIENDLY PATIENT SPECIFIC 3D PRINTED ORTHOPEDIC IMPLANTS

A MACHINE LEARNING ENABLED MODEL TO OPTIMIZE DESIGN OF OSSEOINTEGRATION-FRIENDLY PATIENT SPECIFIC 3D PRINTED ORTHOPEDIC IMPLANTS

机译:启用机器学习模型,以优化骨整合友好患者特定3D印刷矫形植入物的设计

摘要

A method is disclosed for creating a patient-specific orthopedic implant. The method includes creating a numerical representation of an orthopedic implant design based on patient data describing an anatomical, physiological and pathological condition of a patient and simulating a characteristic of the orthopedic implant design based on the numerical representation. The method further includes selecting a patient-specific orthopedic implant design based on the simulated characteristic of the orthopedic implant design and the patient data and constructing at least one patient-specific orthopedic implant based on the selected patient-specific orthopedic implant design.
机译:公开了一种用于产生特定患者特异性整形外科植入物的方法。 该方法包括基于描述患者的解剖学,生理和病理状况,并基于数值表示模拟整形外科设计的特征的患者数据来创建整形外科植入物设计的数值表示。 该方法还包括基于整形外科设计和患者数据的模拟特性选择患者特异性整形外科植入物设计,并基于所选择的患者特异性矫形植入物设计构建至少一种患者特异性整形外科植入物。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号