Validation of a machine learning algorithm for predicting hypoxic ischaemic encephalopathy. View Abstract
Development and Validation of a Novel Deep Learning Model to Predict Pharmacologic Closure of Patent Ductus Arteriosus in Premature Infants. View Abstract
Artificial intelligence in pediatric medicine: a call for rigorous reporting standards. View Abstract
AI models in clinical neonatology: a review of modeling approaches and a consensus proposal for standardized reporting of model performance. View Abstract
Perinatal Factors Associated with Successful Pharmacologic Closure of the Patent Ductus Arteriosus in Premature Infants. View Abstract
Assessment of the clinical knowledge of ChatGPT-4 in neonatal-perinatal medicine: a comparative analysis with ChatGPT-3.5. View Abstract
Transforming neonatal care with artificial intelligence: challenges, ethical consideration, and opportunities. View Abstract
Performance of a Large Language Model on Practice Questions for the Neonatal Board Examination. View Abstract
Artificial intelligence in the neonatal intensive care unit: the time is now. View Abstract
Health-Related Qualities of Life in School-Aged Children with Bronchopulmonary Dysplasia. View Abstract
National Needs Assessment of Utilization of Common Newborn Clinical Decision Support Tools. View Abstract
PD(AI): the role of artificial intelligence in the management of patent ductus arteriosus. View Abstract
Prediction of extubation failure among low birthweight neonates using machine learning. View Abstract
Machine learning: remember the fundamentals. View Abstract
Specificity of International Classification of Diseases codes for bronchopulmonary dysplasia: an investigation using electronic health record data and a large insurance database. View Abstract