Recently, the most common diseases in pediatrics are cardio-vascular system in newonates. Basically - pathology usually combined into a large group - heart defects. Today, they are found in every two hundredth child. Many parents who hear the diagnosis perceive this as a sentence for their child. Yes, some of these diseases actually pose a life-threatening risk to the patient. But most often, heart disease in children is treated very successfully, although sometimes the only method here is surgery. In this paper, Segmentation of the Cardiac Images Using AI-Based Neural Network has proposed to Assess the Severity of cardiac arrest in Neonates. The human heart consists of four chambers: two atria and two ventricles. Their well-coordinated work ensures normal blood flow and, accordingly, is a prerequisite for the life of the body. Defects arising in the system affect the heart valves, septa or vessels, disrupting blood flow to various organs and depriving them of complete oxygen. This condition is called heart failure. Congenital appears during fetal development, children are born, there is already a pathology; Acquired occurs after birth, usually at age 10 or older.
Malignant, Cardiac arrest, Newborn, Negative effect, Heart system, Images, Neural network
