Harnessing the Promise of Artificial Intelligence for Pediatric Research and Education: Successes, Challenges, and Ethical Considerations

Saturday, April 26, 2025

1:00pm – 2:30pm HST

Location: Convention Center: 314

CE: CME: 1.5
Ethics CME: 1.5

Selected By: PAS Program Committee Leadership Team

Chair(s)

OB

Oluwakemi Badaki-Makun, MD, PhD (she/her/hers)

Director of Research, Pediatric Emergency Medicine
Johns Hopkins University School of Medicine
Baltimore, Maryland, United States

Disclosure(s):

Oluwakemi Badaki-Makun, MD, PhD: Asklepion (Ongoing) (Products/Services: Research Support including clinical trials & the principal or named investigator); Beckman Coulter (Ongoing) (Products/Services: Research Support including clinical trials & the principal or named investigator)

As artificial intelligence (AI) rapidly advances, its potential to revolutionize pediatric research and education becomes increasingly evident. AI-driven tools and methodologies offer significant opportunities to enhance data analysis, predict disease and clinical outcomes, optimize patient care, and improve the precision of treatment strategies for children. However, AI's integration into pediatric research also raises unique challenges, including ethical considerations, data privacy concerns, and the need for specialized algorithms tailored to pediatric populations. As the pediatric research community continues to harness the power of AI, this symposium will serve as a platform for sharing cutting-edge research, discussing challenges, and encouraging interdisciplinary collaboration. Given the growing interest in AI across medicine, a focused symposium on pediatric applications is both timely and critical for advancing the field.

The symposium will bring together leading experts in AI, pediatric research and medical education to discuss the latest advancements and the emerging role of artificial intelligence (AI) in Pediatrics. It will explore how machine learning (ML), generative AI, and big data analytics are changing the landscape of pediatric research and education, from disease and patient outcome prediction to the promise of personalized treatments. It will offer a platform for collaboration, debate, and the sharing of cutting-edge innovations, emphasizing the translation of AI technologies into improved clinical outcomes for children.

Learning Objectives:

Discuss examples of successful deployments of AI-based tools in pediatric research and education;
Discuss unique challenges of AI with respect to pediatrics, such as limited sample sizes, developmental considerations, and the need for pediatric-specific models;
Point out ethical and regulatory considerations for AI in pediatrics, including transparency, bias, and data privacy, as well as the need for practical regulatory frameworks.

Presentations:

1:00pm – 1:15pm HST

AI in Pediatrics - Unique Challenges
Speaker: Oluwakemi Badaki-Makun, MD, PhD (she/her/hers) – Johns Hopkins University School of Medicine
1:15pm – 1:30pm HST

Democratizing Medicine on a Global Scale – Harnessing the Power of Generative AI
Speaker: Oluwakemi Badaki-Makun, MD, PhD (she/her/hers) – Johns Hopkins University School of Medicine
1:30pm – 1:45pm HST

Leveraging AI for Pediatric Sepsis: Transforming Care with Predictive Analytics
Speaker: Ioannis Koutroulis – Childrens National Hospital/ GW SMHS
1:45pm – 2:00pm HST

Ethical, Data, and Regulatory Considerations
Speaker: Todd Chang, MD MAcM (he/him/his) – Children's Hospital Los Angeles
2:00pm – 2:15pm HST

Optimizing Clinical Care for Children Everywhere – Digital Simulation and AI
Speaker: Ioannis Koutroulis – Childrens National Hospital/ GW SMHS
2:15pm – 2:30pm HST

The Future of AI in Pediatrics – Fostering Interdisciplinary Collaboration
Speaker: Oluwakemi Badaki-Makun, MD, PhD (she/her/hers) – Johns Hopkins University School of Medicine
Speaker: Todd Chang, MD MAcM (he/him/his) – Children's Hospital Los Angeles
Speaker: Ioannis Koutroulis – Childrens National Hospital/ GW SMHS