Generative AI for Pediatric Research and Education – You can ChatGPT too!

Saturday, April 26, 2025

7:00am – 8:30am HST

Location: Convention Center: 308

CE: CME: 1.5
Ethics CME: 1.5

Leader(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

Co-Leader(s)

Todd Chang, MD MAcM (he/him/his)

Vice Chair for Education for Department of Pediatrics
Children's Hospital Los Angeles
Los Angeles, California, United States
Ioannis Koutroulis

Associate Dean
Emergency Medicine
Childrens National Hospital/ GW SMHS
Washington, District of Columbia, 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)

Todd Chang, MD MAcM: I do not have any relevant financial / non-financial relationships with any proprietary interests.

Ioannis Koutroulis: I do not have any relevant financial / non-financial relationships with any proprietary interests.

Workshop Description: The integration of artificial intelligence (AI) tools in pediatric research and education holds great promise for facilitating medical education, advancing our understanding of childhood diseases, improving diagnostics, and personalizing treatments. The term “generative AI” refers to forms of deep learning models which are capable of generating new content from the data they are trained on and exposed to. The development of generative AI tools such as ChatGPT is progressing rapidly and their use has revolutionized many fields. In this workshop, we explore how generative AI can facilitate pediatric research and education using brief didactic sessions and focused hands-on small group practice with existing generative AI tools. In addition, we explore the ethical and regulatory concerns that have emerged with the increasing uptake of generative AI and discuss issues of intellectual property rights, bias in model generation, and the effects on diversity and inclusion. Generative AI has taken the world by storm and is capable of revolutionizing pediatric research and education. However, this revolution must be approached with careful consideration of the unique needs and vulnerabilities for pediatrics and medical education. This workshop will provide an environment for researchers, educators, clinicians, and trainees to explore the uses of generative AI in pediatric research and education and will allow them to leave equipped with an understanding of the strengths and limitations of these models.

Learning Objectives:

Describe the relevance of generative AI for pediatric research and education;
Use currently available generative AI tools to summarize medical literature, extract data, and generate teaching materials;
Discuss ethical considerations surrounding use of generative AI for pediatric research and education, including intellectual property rights, data privacy, bias, diversity, and inclusion.