Monday, May 11, 2026

1:30 PM - 2:45 PM

South Room

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Overview

Symposium Presented by: Dr. Aroldo Dargel, Angelica Blais, and Navjot K. Bians

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Details

One-Year Hospitalization Risk in Youth Bipolar Disorder: A Multimodal AI Approach Using EMR Data Presented by: Dr. Aroldo Dargel By the end of this session participants will be able to: -Develop an understanding of how Artificial Intelligence can be applied to electronic medical records to model hospitalization risk in a large cohort of youth with bipolar disorder -Identify key predictive factors associated with hospitalization in this population. Predicting Pediatric Mental Health ED Revisits: Machine-Learning and Clinician-Derived Baselines Presented by: Navjot K. Bians By the end of this session participants will be able to: -Discuss the development of a machine learning model designed to predict 6-month child and youth mental health (CYMH) emergency department revisits (RVs). -Compare the performance of clinician-derived and machine learning prediction approaches using AUROC analyses and examine differences in feature importance across methods. Precision Child and Youth Mental Health Research: Dwelling in Possibility Presented by: Angelica Blais By the end of this session participants will be able to: -Develop an understanding of the core components of Precision Child and Youth Mental Health. -Analyze and differentiate the main types of studies represented in the Precision Child and Youth Mental Health literature through 2024.