Technology 1: AI/Machine Learning

Moderator(s)

• 

  Brynne Sullivan, MD, MSCR (she/her/hers)

  Associate Professor
  University of Virginia School of Medicine
  CHARLOTTESVILLE, Virginia, United States
• 

  Zachary Vesoulis, MD MSCI (he/him/his)

  Assistant Professor
  Pediatrics
  Washington University School of Medicine
  St. Louis, Missouri, United States

Presentations:

• 10:00am – 10:15am HST

  Prediction of survival and neurodevelopmental outcomes at two years in children born extremely preterm using machine learning methods: The Victorian Infant Collaborative Study dataset
  

  Presenting Author: Samuel B. Axford, MBBS, FRACP – The Royal Children's Hospital | University of Melbourne | Murdoch Children's Research Institute
• 10:15am – 10:30am HST

  Effect of a Generative Artificial Intelligence Digital Scribe on Pediatric Provider Documentation Time, Cognitive Burden, and Burnout
  

  Presenting Author: Jonathan H. Pelletier, MD (he/him/his) – Akron Children’s Hospital
• 10:30am – 10:45am HST

  Reducing Invasive Diagnostic Testing in Pediatrics Through Machine Learning: A Case Study Using RSV Testing
  

  Presenting Author: Shota Kawamoto, MA – Keio University
• 10:45am – 11:00am HST

  Large Language Models to Translate Medical Documents to Spanish
  

  Presenting Author: Cris G. Ebby, MD, MS – University of Wisconsin-Madison
• 11:00am – 11:15am HST

  Development of a Novel Deep Learning Model for the Interpretation of Neonatal Radiographs
  

  Presenting Author: Puneet Sharma, MD – Emory University School of Medicine
• 11:15am – 11:30am HST

  An Automated Machine Learning Pipeline for Predicting Neurological Morbidity in Critically Ill Children
  

  Presenting Author: Christopher Horvat, MD, MHA – UPMC/University of Pittsburgh