Perinatal Brain Club: Promoting Brain Health with Artificial Intelligence

Sunday, April 27, 2025

12:25pm – 1:50pm HST

Location: Convention Center: 311

CE: 1.5

Chair(s)

CS

Christopher Smyser, MD, MSCI (he/him/his)

Professor of Neurology, Pediatrics, Radiology, and Psychiatry
Neurology
Washington University in St. Louis
St. Louis, Missouri, United States
Steven Miller, MDCM MAS

Head & Professor, Pediatrics
University of British Columbia Faculty of Medicine
Vancouver, British Columbia, Canada

Disclosure(s):

Christopher Smyser, MD, MSCI: I do not have any relevant financial / non-financial relationships with any proprietary interests.

Steven Miller, MDCM MAS: I do not have any relevant financial / non-financial relationships with any proprietary interests.

Artificial intelligence (AI) is offering unprecedented opportunities to promote brain health in the neonatal intensive care unit (NICU) and through rehabilitation following intensive care. This session will address "big data and small patients", outlining the potential of AI in the NICU to promote neurodevelopmental outcomes. Speakers will address predicting neurodevelopmental impairment in premature infants using NICU physiologic data, promises and pitfalls of predicting outcomes with fetal-infant neuroimaging data, and enabling life participation for children with disabilities using artificial intelligence and brain computer interfaces.

Learning Objectives:

Upon completion, participants will be able to identify the role of physiological data in the NICU to predict outcomes.
Upon completion, participants will be able to identify the strengths and limitations of AI approaches to fetal/infant neuroimaging data.
Upon completion, participants will be able to identify the role of AI and brain computer interfaces in enabling life participation for children with disabilities.

Presentations:

12:25pm – 12:42pm HST

Big Data and Small Patients: What Does AI Hold for the Future of the NICU?
Speaker: Christopher Smyser, MD, MSCI (he/him/his) – Washington University in St. Louis
12:42pm – 12:59pm HST

Ai-driven Insights: Predicting Neurodevelopmental Impairment in Premature Infants Using NICU Physiologic Data
Speaker: Brynne A. Sullivan, MD, MSCR (she/her/hers) – University of Virginia School of Medicine
12:59pm – 1:16pm HST

Promises and Pitfalls of Predicting Outcomes with Fetal-infant Neuroimaging Data
Speaker: Dustin Scheinost, PhD (he/him/his) – Yale School of Medicine
1:16pm – 1:34pm HST

Enabling Life Participation for Children with Disabilities Using Artificial Intelligence and Brain Computer Interfaces
Speaker: Adam Kirton, MD (he/him/his) – University of Calgary
1:34pm – 1:50pm HST

AI & Brain Health: Moderated Panel Discussion
Speaker: Steven Miller, MDCM MAS – University of British Columbia Faculty of Medicine