摘要
髋关节置换是股骨头坏死等髋关节疾病终末期的有效治疗方法。术前合理规划、术中假体正确安放是手术成功的关键,术后定期随访是早期发现假体异常必不可少的环节。然而大量重复的工作必然耗费医生的宝贵时间,且不同医生对结果的理解存在主观差异,可能导致病情的延误。近年来,人工智能与髋关节置换进行了深度融合,有望减轻医生负担,促进髋关节置换的精准化。本文综述了近10年人工智能在髋关节置换领域的进展。首先,概述了目前人工智能的发展现状;其次,叙述其在置换术前、术中及术后的现状;最后,分析人工智能在该领域存在的不足,并预测未来关注要点及趋势。
Hip replacement is an effective treatment for end-stage hip diseases such as femoral head necrosis.Reasonable planning be⁃fore operation,correct placement of prosthesis during operation and regular follow-up after operation are essential for successful operation and early detection of prosthetic abnormalities.However,a large amount of repetitive work will inevitably consume doctors'valuable time,and there are subjective differences in the understanding of the results among different doctors,which may lead to the delay of the disorder.In recent years,artificial intelligence has been deeply integrated with hip replacement,which is expected to reduce the burden on doctors and promote the precision of hip replacement.This paper reviews the progress of artificial intelligence in the field of hip replacement in re⁃cent 10 years.Firstly,the current development status of artificial intelligence is summarized.Secondly,the status quo before,during and af⁃ter the replacement is described.Finally,it analyzes the shortcomings of artificial intelligence in this field,and predicts the future focus points and trends.
作者
李佳伟
丁良甲
金凤
李筱贺
LI Jia-wei;DING Liang-jia;JIN Feng;LI Xiao-he(The Second Affiliated Hospital,Baotou Medical College,Inner Mongolia University of Science and Technology,Baotou014030,China;The Second Affiliated Hospital,Inner Mongolia Medical University,Hohhot010010,China;The Affiliated Hospital,Inner Mongolia Medical University,Hohhot010010,China;The School of Basic Medical Sciences,Inner Mongolia Medical University,Hohhot010010,China)
出处
《中国矫形外科杂志》
CAS
CSCD
北大核心
2024年第7期625-630,共6页
Orthopedic Journal of China
基金
内蒙古自然科学基金项目(编号:2020MS08124)
内蒙古教育厅高等学校创新团队发展计划项目(编号:NMGIRT2227)
内蒙古自治区蒙医药协同创新中心科学研究项目(编号:MYYXTYB202104)
乌兰察布市科技创新引导项目(编号:202201)。
关键词
人工智能
机器学习
髋关节置换
医学影像
artificial intelligence
machine learning
hip replacement
medical imaging