Townsend Teaching Day

Learning Objectives

• Describe the various forms and types of artificial intelligence
• Define the many issues facing effective and ethical application of AI in Pediatric Medicine
• Identify and use publicly available AI tools to assist in daily work
• Distinguish between low, intermediate, and high risk UTD
• Apply UTD risk stratification to postnatal management
• Discuss criteria for prenatal vs postnatal urologic evaluation
• Describe common machine learning algorithms
• Describe the use of time-series machine learning in predictions of BPD
• Describe at least three common hemodynamic phenotypes in sick neonates
• Explain how targeted neonatalechocardiography (TnECHO) can be used to distinguish these phenotypes
  
  
  
• Identify at least two opportunities to integrate structured bedside hemodynamic assessment with data-driven or AI-enhanced tools
• Review risk factors for common neonatal diagnoses
• Compare and contrast these common diagnoses’ findings on plain films
• Understand the potential that POCUS has for clinical management in the NICU
• Describe the risks of pregestational and gestational diabetes on pregnancy and neonatal outcomes
• Explain surveillance of diabetes in pregnancy and delivery timing
• Review blood sugar goals in pregnancy and labor/delivery as it applies to neonatal outcomes
• Describe the known benefits of delayed cord clamping in premature and term infants
• Analyze local data acquired from the study’s preliminary results
• Interpret how this study’s preliminary results could be expanded upon using statistical analysis procedures in the future

Agenda

7:15 am
Registration and Continental Breakfast

7:55 am
Welcome and Introduction
Blair Germain, MD

8:00 am - 9:00 am
James W. Kendig Keynote Address: Providing more intelligent cAIre
James S. Barry, MD, MBA
 
9:00 am
BREAK

9:10 am - 10:00 am
Upper Tract Dilation – updated guidelines
Jimena Cubillos, MD

10:00 am - 10:45 am
Maternal diabetes in pregnancy: the fetal and neonatal perspective
Maranda Sullivan, DO

10:45 am - 11:30 am
From Clues to Circuits: Using Neonatal Hemodynamics and TnECHO to Make Better Bedside Decisions
Irina Prelipcean, MD

11:30 am - 12:30 pm  
LUNCH

12:30 pm - 1:15 pm  
Neonatal Radiology and Clinical Applications
Michael Kahovec, PA-C

1:15 pm - 1:40 pm
Machine Learning Improves Prediction of Bronchopulmonary Dysplasia
Andrew Dylag, MD

2:00 pm - 3:00 pm
Delayed Cord Clamping and T-Cell Enrichment in Premature Neonates: Another Potential Benefit?
Elizabeth Masotti, MD

3:00 pm - 3:15 pm  
Evaluation and Adjourn

Speakers