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公开(公告)号:US20230027978A1
公开(公告)日:2023-01-26
申请号:US17780445
申请日:2020-11-30
发明人: Vincent Gaborit , Karine Mollard , Marine Mayer , François Boux de Casson , Manuel Jean-Marie Urvoy
IPC分类号: A61B34/10
摘要: The disclosure describes examples of machine-learned model based techniques. A computing system may obtain patient characteristics of a patient and implant characteristics of an implant. The computing system may determine information indicative of an operational duration of the implant based on the patient characteristics and the implant characteristics and output the information indicative of the operational duration of the implant. In some examples, one or more processors may be configured to receive, with a machine-learned model of the computing system, implant characteristics of an implant to be manufactured, apply model parameters of the machine-learned model to the implant characteristics, determine information indicative of dimensions of the implant to be manufactured based on the applying of the model parameters of the machine-learned model, and output the information indicative of the dimensions of the implant to be manufactured.