Deep-Learning-Based Multi-Class Classification for Neonatal Respiratory Diseases on Chest Radiographs in Neonatal Intensive Care Units

We introduced a deep-learning-based automated algorithm to classify neonatal respiratory diseases using a large dataset of high-quality, multi-class labeled chest X-ray images, incorporating non-imaging data, which could support neonatologists in making timely and accurate decisions for critically ill newborns.