Automated Facial Recognition for Noonan Syndrome Using Novel Deep Convolutional Neural Network With Additive Angular Margin Loss.

Background: Noonan syndrome (NS), a genetically heterogeneous disorder, presents with hypertelorism, ptosis, dysplastic pulmonary valve stenosis, hypertrophic cardiomyopathy, and small stature. Early detection and assessment of NS are crucial to formulating an individualized treatment protocol. However, the diagnostic rate of pediatricians and pediatric cardiologists is limited.

[Short-and mid-term outcomes of transcatheter intervention for critical pulmonary stenosis and pulmonary atresia with intact ventricular septum in neonates].

Objective: To assess the safety and efficacy of transcatheter intervention for critical pulmonary stenosis (CPS) and pulmonary atresia with intact ventricular septum (PA/IVS) in neonates.

Method: From June 2006 to September 2011, 27 neonates including CPS in 19 patients and PA/IVS in 8 patients underwent transcatheter intervention. All patients had membranous stenosis or atresia without severe Ebstein's anomaly and severe right ventricle and pulmonary valve hypoplasia, without right ventricle-dependent coronary circulation in PA/IVS.