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2023
Predicting the effectiveness of drugs used for treating cardiovascular conditions in newborn infants. Pediatr Res
Deep learning for estimation of fetal weight throughout the pregnancy from fetal abdominal ultrasound. Am J Obstet Gynecol MFM
Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI. NPJ Digit Med
Development and clinical impact assessment of a machine-learning model for early prediction of late-onset sepsis. Comput Biol Med
PD(AI): the role of artificial intelligence in the management of patent ductus arteriosus. J Perinatol
Sensor Fusion for the Robust Detection of Facial Regions of Neonates Using Neural Networks. Sensors (Basel)
EBNEO commentary: Prediction of extubation failure among low birthweight neonates using machine learning. Acta Paediatr
Artificial intelligence in the neonatal intensive care unit: the time is now. J Perinatol
Graphic Intelligent Diagnosis of Hypoxic-Ischemic Encephalopathy Using MRI-Based Deep Learning Model. Neonatology
Creation and Adoption of Large Language Models in Medicine. JAMA
Data-driven longitudinal characterization of neonatal health and morbidity. Sci Transl Med
Development of a peripheral blood transcriptomic gene signature to predict bronchopulmonary dysplasia. Am J Physiol Lung Cell Mol Physiol
Prediction of extubation failure among low birthweight neonates using machine learning. J Perinatol
Machine learning: remember the fundamentals. Pediatr Res
Improving child health through big data and data science. Pediatr Res
Emerging role of artificial intelligence, big data analysis and precision medicine in pediatrics. Pediatr Res
From computer to bedside, involving neonatologists in artificial intelligence models for neonatal medicine. Pediatr Res
Artificial intelligence in the diagnosis of necrotizing enterocolitis in newborns. Pediatr Res
Multi-omics, artificial intelligence, and precision medicine in perinatology. Pediatr Res
2022
Interpretable prediction of necrotizing enterocolitis from machine learning analysis of premature infant stool microbiota. BMC Bioinformatics
Use of an electronic medical record to optimize a neonatal sepsis score for mortality prediction. J Perinatol
Artificial and human intelligence for early identification of neonatal sepsis. Pediatr Res
Artificial intelligence in pediatrics: the future is now. Pediatr Res
Pivotal challenges in artificial intelligence and machine learning applications for neonatal care. Semin Fetal Neonatal Med
Machine learning for prediction of bronchopulmonary dysplasia-free survival among very preterm infants. BMC Pediatr
Development and validation of a deep learning method to predict cerebral palsy from spontaneous movements in infants at high risk. JAMA Netw Open
Development and validation of a deep learning model to predict the occurrence and severity of retinopathy of prematurity. JAMA Netw Open
NeoAI 1.0: Machine learning-based paradigm for prediction of neonatal and infant risk of death. Comput Biol Med
Early severity prediction of BPD for premature infants from chest X-ray images using deep learning: A study at the 28th day of oxygen inhalation. Comput Methods Programs Biomed
Identifying clinical phenotypes in extremely low birth weight infants-an unsupervised machine learning approach. Eur J Pediatr
Language function following preterm birth: prediction using machine learning. Pediatr Res
Machine learning used to compare the diagnostic accuracy of risk factors, clinical signs and biomarkers and to develop a new prediction model for neonatal early-onset sepsis. Pediatr Infect Dis J
Improving child health through big data and data science. Pediatr Res
