Atrial Septal Defect

Atrial septal defect (ASD) is a congenital heart defect characterized by an abnormal opening in the wall separating the heart's upper chambers. Current research focuses on improving ASD detection accuracy using advanced image analysis techniques, particularly deep learning models applied to echocardiographic videos, with architectures like ResNet and 3D convolutional neural networks showing promise. These advancements aim to improve diagnostic accuracy and efficiency, potentially leading to earlier intervention and better patient outcomes. The development of reliable automated detection systems holds significant potential for reducing diagnostic errors and improving healthcare access, especially in resource-limited settings.