深度学习在儿科先天性心脏病超声心动图诊断的研究进展

Research progress of deep learning in echoardiographic diagnosis of pediatric congenital heart disease

先天性心脏病是导致婴幼儿死亡的主要原因之一,超声心动图是其首选检查方法,但其复杂性、可重复性问题常常影响了筛查和术前的诊断质量,以深度学习为基础的人工智能方法近来已经成为超声心动图诊断先天性心脏病的研究热点,本文就基于深度学习在儿科先天性心脏病超声心动图诊断中的应用进展进行综述。

Congenital heart disease is one of the main causes of infant mortality.Echocardiography is the preferred inspection method,but its complexity and repeatability often affect the quality of screening and preoperative diagnosis.Based on deep learning The artificial intelligence method has recently become a research hotspot in the diagnosis of congenital heart disease by echocardiography.This paper reviews the application progress of deep learning in the diagnosis of pediatric congenital heart disease by echocardiography.