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Application of artificial intelligence for the classification and prediction of pelvic flexion angle after total hip arthroplasty

Application of artificial intelligence for the classification and prediction of pelvic flexion angle after total hip arthroplasty
人工智能在全髋关节置换术后骨盆屈角分类与预测中的应用
批准号:
19K09558
负责人:
INABA Yutaka
金额:
$2.75万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (C)
财政年份:
2019
资助国家:
日本
项目状态:
已结题
起止时间:
2019-04-01 至 2022-03-31

项目摘要

项目成果

INABA Yutaka的其他基金

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会议论文
人工知能を用いた術前患者因子に基づく人工関節全置換術後の骨盤傾斜の予測
基于术前患者因素的人工智能预测全关节置换术后骨盆倾斜
DOI: --
发表时间: 2021
期刊:
影响因子: --
作者: [藤井淳平, 青山祥太郎, 手塚太郎, 崔 賢民, 川上英良, 稲葉 裕]
通讯作者: 稲葉 裕
Evaluation of disease progression and surgical effect for hip osteoarthritis using finite element analysis with consideration of muscle activity and bone mineral density
  • 批准号:
    25462378
  • 项目类别:
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  • 资助金额:
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  • 财政年份:
    2013
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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