Bridging the GAP: Generative AI and Pediatrics

Presentation Time: 08:30 AM - 12:00 PM

Abstract Keywords: Pediatrics, Governance of Artificial Intelligence, Health Equity
Primary Track: Applications
Programmatic Theme: Clinical Informatics

While generative AI has shown significant promise in enhancing the healthcare experience of patients and clinicians, there is a significant gap in best practices guiding successful development, testing and implementation of generative AI tools for the pediatric population. With rapid development of these technologies, we need to ensure children are not left behind. There is an urgent need to establish best practices in AI applications for pediatric patients which requires alignment between partners in industry, regulatory bodies, health systems and academia. This workshop aims to help attendees better understand the importance of focusing on pediatric populations in developing generative artificial intelligence (AI). Through brief presentations of ongoing work in this area and interactive discussions, participants will be able to identify current innovations in pediatric generative AI and evaluate the clinical, ethical, regulatory, technical, and operational considerations for equitable implementation in pediatric populations. We have gathered thought leaders in pediatric generative AI from a variety of fields with expertise in industry, regulatory bodies, health systems, ethics, and technical software development. Using design thinking strategies, the workshop will allow for participants to contribute to the development of national recommendations and guidelines to prioritize the pediatric population in generative AI development and implementation.

Speaker(s):
Michelle Mello, JD PhD
Stanford Law School

Alyssa Burgart, MD MA
Stanford Medicine

Nymisha Chilukuri, MD
Stanford Medicine

Chethan Sarabu, MD
Stanford Medicine

Aydin Zahedivash, MD, MBA
Stanford University

Keith Morse, MD
Stanford University School of Medicine

Lindsay Stevens, MD
Stanford University

Author(s):