李振鑫,金凤,郭欢萱,田晓燕,冉云龙,白小龙.人工智能结合影像学用于全膝关节置换术研究现状与应用进展[J].中国医学影像技术,2025,41(1):152~155 |
人工智能结合影像学用于全膝关节置换术研究现状与应用进展 |
Research status and application progresses of artificial intelligence combined with imaging in total knee arthroplasty |
投稿时间:2024-07-08 修订日期:2024-11-20 |
DOI:10.13929/j.issn.1003-3289.2025.01.032 |
中文关键词: 人工智能 膝关节 关节成形术 诊断显像 |
英文关键词:artificial intelligence knee joint arthroplasty diagnostic imaging |
基金项目:2022年度内蒙古自治区卫生健康科技计划项目(202201266)、2021年度内蒙古医科大学联合项目(YKD2021LH008)、内蒙古医科大学大学生创新创业训练计划项目(202210132034)。 |
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中文摘要: |
全膝关节置换术(TKA)主要用于治疗晚期膝关节炎,术前精准规划、术后快速识别假体对顺利操作及术后康复至关重要;然而人工识别假体多依赖医师经验,易致漏、误诊。近年人工智能(AI)与医学影像学相结合,以机器学习(ML)和其分支深度学习(DL)为代表,用于TKA展现出较为强大的辅助功能。本文围绕AI结合影像学用于TKA研究现状与应用进展展开综述。 |
英文摘要: |
Total knee arthroplasty (TKA) is mainly used for the treatment of advanced knee osteoarthritis. Accurate preoperative planning and rapid prosthesis recognition are essential for smooth operation and postoperative rehabilitation. However, manual prosthesis recognition rely on doctors' experience, easily leading to misdiagnosis or missed diagnosis. Recent years, artificial intelligence (AI) had been integrated with medical imaging, represented by machine learning (ML) and its branch deep learning (DL), and displayed relatively powerful auxiliary functions in TKA. The research status and application progresses of AI combined with imaging in TKA were reviewed in this article. |
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