人工智能辅助超声诊断肝病变的研究进展  

Research advances in artificial intelligence in assisting ultrasound diagnosis of liver lesions

作　　者：王妍洁 宋青[2] 韩鹏 罗渝昆 WANG Yanjie;SONG Qing;HAN Peng;LUO Yukun(Chinese PLA Medical School,Beijing 100853,China;Department of Ultrasound,the First Medical Center,Chinese PLA General Hospital,Beijing 100853,China)

机构地区：[1]解放军医学院,北京100853 [2]解放军总医院第一医学中心超声诊断科,北京100853

出　　处：《解放军医学院学报》2021年第11期1230-1232,F0003,共4页Academic Journal of Chinese PLA Medical School

基　　金：国家自然科学基金项目(81971635);解放军总医院临床科研扶持基金(ZH19021);中国博士后基金面上项目(2018M643876)。

摘　　要：肝是人体重要的实质脏器,超声对肝实质内异常病变(不论是弥漫性病变还是局灶性病变)的识别较为敏感。人工智能与影像医学的结合是近年研究热点,通过大数据训练,人工智能模型可以对输入数据进行自动识别和分析,并输出预测结果,为临床诊疗工作提供帮助。本文对人工智能辅助超声诊断肝病变的研究进展作一综述。Liver is an important solid organ in our body. Ultrasound provides a sensitive tool to detect abnormal lesions in the liver,whether diffuse lesions or focal lesions. In recent years, the integration between artificial intelligence(AI) and medical imaging has become a research hotspot. After being trained by big data, AI models can automatically recognize and analyze the input data, and output predictions, which assist in clinical diagnosis and treatment. Therefore, this paper thoroughly summarizes the research advances in AI-assisted ultrasound diagnosis of liver lesions.

关 键 词：人工智能 诊断 超声 肝 图像识别 

分 类 号：R445.1[医药卫生—影像医学与核医学]