摘要
膝骨关节炎(KOA)为慢性退行性关节疾病,晚期可致残。影像学诊断KOA常受人为等因素影响而难以保证客观性。人工智能(AI)用于KOA已展现出巨大价值。本文就AI用于影像学诊断KOA、分级,检测软骨病变、预测疼痛及长期护理等研究进展进行综述。
Knee osteoarthritis(KOA)is a chronic degenerative joint disease which could result disabling in late stage.The objectivity in imaging diagnosis of KOA is often various due to human factors and other influences.Artificial intelligence(AI)has been proved highly valuable for KOA.The progresses of AI in imaging diagnosis and grading of KOA,detecting cartilages lesions,predicting pain and long-term care of KOA were reviewed in this article.
作者
李振鑫
白小龙
郭欢萱
田晓燕
冉云龙
雷焜
金凤
LI Zhenxin;BAI Xiaolong;GUO Huanxuan;TIAN Xiaoyan;RAN Yunlong;LEI Kun;JIN Feng(Department of Diagnostic Imaging,the Affiliated Hospital of Inner Mongolia Medical University,Hohhot 010050,China;First Clinical Medical College,Inner Mongolia Medical University,Hohhot 010050,China)
出处
《中国介入影像与治疗学》
北大核心
2024年第10期632-635,共4页
Chinese Journal of Interventional Imaging and Therapy
基金
2022年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)。
关键词
膝关节
骨关节炎
人工智能
X线
磁共振成像
knee joint
osteoarthritis
artificial intelligence
X-rays
magnetic resonance imaging
