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Neural network for diagnosis of shoulder condition

A shoulder, neuron technology applied in the field of neural networks for the diagnosis of shoulder disorders

Pending Publication Date: 2021-03-30
豪迈帝凯奥斯泰纳克公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Properly selecting and properly positioning a prosthesis that has been properly sized and shaped to ensure optimal surgical results can be challenging

Method used

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  • Neural network for diagnosis of shoulder condition
  • Neural network for diagnosis of shoulder condition
  • Neural network for diagnosis of shoulder condition

Examples

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Embodiment Construction

[0160] Certain examples of the present disclosure are described with reference to the drawings, wherein like reference numerals indicate like elements. However, it should be understood that the accompanying drawings only illustrate various implementations described herein, and are not meant to limit the scope of the various technologies described herein. The drawings illustrate and describe various examples of the disclosure.

[0161] In the following description, numerous details are set forth in order to provide an understanding of the present invention. It will be understood, however, by those skilled in the art that the invention may be practiced without these details and that numerous changes or modifications are possible from the described examples.

[0162] Orthopedic surgery may involve implanting one or more prosthetic devices to repair or replace a damaged or diseased joint in a patient. Today, virtual surgical planning tools are available that use image data of di...

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Abstract

A computing system generates a plurality of training datasets from past shoulder surgery cases and uses the plurality of training datasets to train a neural network. Each output layer neuron in a plurality of output layer neurons of the neural network corresponds to a different class in one or more shoulder pathology classification systems. The computing system may obtain a current input vector that corresponds to a current patient. Additionally, the computing system may apply the neural network to the current input vector to generate a current output vector. The computing system may determine, based on the current output vector, a classification of a shoulder condition of the current patient.

Description

[0001] This patent application claims the benefit of: U.S. Provisional Patent Application No. 62 / 687,014, filed June 19, 2018; U.S. Provisional Patent Application No. 62 / 739,406, filed October 1, 2018; filed December 12, 2018 U.S. Provisional Patent Application No. 62 / 778,774; U.S. Provisional Patent Application No. 62 / 778,789 filed December 12, 2018; U.S. Provisional Patent Application No. 62 / 778,764 filed December 12, 2018; December 12, 2018 U.S. Provisional Patent Application No. 62 / 778,797 filed December 12, 2018; U.S. Provisional Patent Application No. 62 / 778,778 filed December 12, 2018; U.S. Provisional Patent Application No. 62 / 778,788 filed December 12, 2018; December 12, 2018 U.S. Provisional Patent Application No. 62 / 778,760, filed December 12, 2018; U.S. Provisional Patent Application No. 62 / 778,796, filed December 12, 2018; December 2018 U.S. Provisional Patent Application No. 62 / 778,782, filed Dec. 12; U.S. Provisional Patent Application No. 62 / 778,791, filed Dec. 1...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B34/00G16H50/20G16H50/70A61B34/30A61B17/00G06N3/04G06N3/12A61B34/10G06N5/00A61B34/20G06N3/08A61B90/00
CPCG06N3/084G06N3/126G06N20/20A61B2034/107A61B2034/2055A61B2090/062A61B2017/00119A61B2017/00017G16H50/20G16H50/70A61B2034/252A61B34/25A61B34/20A61B90/90A61B2034/2048A61B17/1684A61B2090/365A61B2090/502A61B2090/372A61B2034/258A61B90/92A61B90/94A61B90/96A61B90/98A61B2034/104A61B2034/105A61B2034/108A61F2/40A61B90/36A61B2034/2065A61B2034/2057G09B23/28A61F2/38A61F2/4202A61F2/32A61B17/1778A61B17/15A61B17/1775G16H40/63A61B34/76A61B2017/00115A61B5/1114A61B5/1122A61B5/744G06N3/042G06N3/047G06N5/01G06N3/048G06N3/045G06N3/044A61B34/10A61B2034/254G02B27/0172G06F3/0482G06T11/00G06T2210/41A61B5/1121A61B5/1127A61B5/681G06T19/006A61B90/361A61B2090/367A61B2090/373A61B2090/3937A61B2090/397G16H30/40G16H40/60H04N13/332H04N13/122A61B17/1703A61F2/4612G02B27/0075G02B2027/0141G02B2027/0174G16H20/40G16H50/50G16H70/20G09B9/00G09B19/003A61B2034/102G06N20/00G02B27/017G06F3/011A61B2090/366A61B90/37A61B17/151A61F2/4606G06F3/0483A61B17/142A61B17/1626A61B90/39G06T7/55A61F2/4081G06T2207/10016G06T2207/30008G06T2207/30052G06T2207/30204A61B90/08A61B2090/0807A61B2090/3945A61B17/1604A61B17/1659A61B2562/0219A61F2002/4011A61F2002/4633G09B5/06A61B2034/2068G16H40/67G06T19/20G06T2219/2004G16H40/20G16H30/20G06N3/04G06T2200/24A61B2090/374A61B2090/3762A61B2090/378G06T7/11G16H50/30A61F2002/4658A61F2002/4668G06N3/08G06T7/0012G06T2207/20036G06T2207/20081G06T2207/20084G16H70/60G06F30/10A61B2505/05G16H80/00G06V2201/03A61B2034/2051G06F3/04815A61B2017/00123A61B2090/067A61B2090/0801A61B2090/368G06F30/20G06F18/2163
Inventor 让·沙维曼纽尔·让-玛丽·于尔瓦玛丽-夏洛特·德塞罗伊特
Owner 豪迈帝凯奥斯泰纳克公司
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