Advanced Research in Pediatric Radiology and Nuclear Medicine

© 2022 by the authors; CC BY-NC-ND license

as low as reasonably achievable; computed tomography; convolutional neural network; deep learning; dose reduction; generative adversarial network; image processing; machine learning; medical imaging; noise; contrast-enhanced ultrasound; head ultrasound; brain death; infants; ancillary test; child; paediatric; infant; adolescent; chest X-ray; CXR; chest radiography; COVID-19; SARS-CoV-2; coronavirus; biliary atresia; ultrasonography; diagnostic accuracy; intraoperative cholangiography (IOC); diagnostic performance; elastography; three-dimensional printing; congenital heart disease; children; model; personalized medicine; application; children; confusion matrix; convolutional neural network; deep learning; diagnostic accuracy; disease identification; image interpretation; machine learning; medical imaging; pneumonia; artificial intelligence (AI); deep learning (DL); paediatric pneumonia; chest radiograph; computer-aided detection (CAD); cumulative; radiation dose; medical imaging; congenital heart disease; acute tonsillitis; shear wave elastography; stiffness; children; ultrasonography; pediatric; magnetic resonance imaging; infection; neck; emergency medicine; pediatric