Technology 1: AI/Machine Learning

Technology 1: AI/Machine Learning

168 - AI-VOICE: a Method to Measure Caregiver Values for AI-triggered Actions

169 - Assessing Performance of Large Language Models in Answering Image-Based Neonatology Questions

171 - Comparison of Traditional Literature Searches and Large Language Models (LLMs) for Answering Pediatric Clinical Scenario Questions

172 - Ensemble Learning for Predicting Neonatal Birth Trauma Using High-Dimensional Data in the NICU

173 - Harnessing Large Language Models for Safety Event Detection in Pediatric Emergency Medicine: The RescueGPT Approach

174 - Large Language Model Matches Physician Accuracy in Diagnosing Neonatal Conditions

175 - Machine Learning Analysis of Cardiotocographs (CTGs) for Predicting Neonatal Encephalopathy (NE) Among Term Infants

176 - Machine Learning for Early and Equitable Detection of Fragile X Syndrome in Diverse Pediatric Populations

177 - Non-Sensor Video-Based Pose Estimation Model for Automated Infant Movement Assessment

178 - Pediatric Healthcare Providers’ Perceptions on Usability and Utility of Artificial Intelligence (AI) Tools in Clinical Settings

179 - Predicting Serum Phosphate Levels in Very Preterm Infants Using Machine Learning

180 - Revolutionizing Neonatal Monitoring: AI-Generated Arterial Waveforms from Non-Invasive Cardiorespiratory Monitoring in NICU patients

181 - The Use of Large Language Models for Summarizing Progress Notes in the Cardiovascular Intensive Care Unit

182 - Vision Image Transformers Improve Anatomic Landmark Tracking from Video Data on Infants in an Intensive Care Unit Setting