Byte-sized care: Artificial Intelligence and Machine Learning in Pediatrics

Presentation Time: 03:30 PM - 05:00 PM

Abstract Keywords: Pediatrics, Machine Learning, Clinical Decision Support, Clinical Guidelines, Informatics Implementation, Pharmacogenomics
Primary Track: Applications
Programmatic Theme: Clinical Informatics

Machine learning (ML) and artificial intelligence (AI) permeate modern life. Pediatrics presents a unique environment to study rare disease, development, and genetic changes. Despite this, research focused on pediatric care applications of ML lags behind that of research in other healthcare settings. It is important to consider the uniqueness of pediatric care when developing algorithms, creating guidelines, implementing clinical decision support, and creating learning health systems across this population. In this panel, we will highlight the importance of pediatric-specific ML research and special considerations for pediatric care. We will describe a conceptual model of ML techniques, identify acceptable use of AI methods in medicine, and provide examples of state-of-the-art projects being done to help provide the best possible care for pediatric patients.

Moderator:
Judith Dexheimer, PhD
Cincinnati Children's Hospital

Speaker(s):
Robert Grundmeier, MD
None

Eneida Mendonca, MD, PhD
Cincinnati Children's Hospital / University of Cincinnati

Mona Sharifi, MD. MPH
Yale School of Medicine

Author(s):
Judith Dexheimer, PhD - Cincinnati Children's Hospital; Mona Sharifi, MD. MPH - Yale School of Medicine; Robert Grundmeier, MD - None; Eneida Mendonca, MD, PhD - Cincinnati Children's Hospital / University of Cincinnati;