人工智能赋能医学影像在先天性心脏病医学诊治中的研究进展  

Artificial Intelligence Medical Imaging Technology in Medical Imaging of Congenital Heart Disease

作　　者：林锡祥 杨菲菲[1] 陈煦 何昆仑[1] LIN Xixiang;YANG Feifei;CHEN Xu;HE Kunlun(Medical Big Data Research Center,Chinese PLA General Hospital,Beijing 100853,China;Medical School of Chinese PLA,Chinese PLA General Hospital,Beijing 100853,China)

机构地区：[1]中国人民解放军总医院医学大数据研究中心,北京100853 [2]中国人民解放军总医院解放军医学院,北京100853

出　　处：《心血管病学进展》2022年第12期1063-1067,共5页Advances in Cardiovascular Diseases

基　　金：中华人民共和国科学技术部项目(2021ZD0140407);中华人民共和国工业和信息化部项目(2020-0103-3-1);北京市自然科学基金(7202198)。

摘　　要：先天性心脏病(先心病)是最常见的出生缺陷之一,是导致儿童死亡的最主要疾病。先心病的临床表现和发病机制呈现出高度的复杂性和异质性,为疾病的诊断和治疗带来巨大的挑战,而诊治不及时会对家庭、社会和国家带来巨大的负担。近年,人工智能技术在医学影像领域发展迅速,其庞大的数据库和卓越的运算能力可应对先心病复杂性和异质性带来的种种挑战,推动个性化和精准化医疗的发展。现围绕人工智能医学影像技术在先心病诊断和治疗方面的应用展开综述。Congenital heart disease(CHD)is one of the most common birth defects and the leading cause of death in children.The clinical manifestations and pathogenesis of CHD are highly complex and heterogeneous,which brings great challenges to the diagnosis and treatment.However,undertreatment will place an enormous burden on families,societies and countries.Recently,artificial intelligence(AI)has developed rapidly in the field of clinical medicine.Due to the huge database and outstanding computing ability,AI can cope with various challenges brought by the complexity and heterogeneity of CHD,which will promote the development of personalized and precision medicine.This article reviews the application of AI in the field of diagnosis and treatment of CHD.

关 键 词：先天性心脏病 人工智能 深度学习 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] R541.1[自动化与计算机技术—控制科学与工程]