Toward governance of artificial intelligence in pediatric healthcare.
Authors
Richter F,Holmes E,Richter F,Guttmann K,Duong SQ,Gangadharan S,Schadt EE,Salmasian H,Gelb BD,Glicksberg BS
Affiliations (12)
Affiliations (12)
- The Center for AI in Children's Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- The Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- The Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- ArtemisAI Labs, San Diego, CA, USA.
- The Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- The Center for AI in Children's Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA. [email protected].
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. [email protected].
- The Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA. [email protected].
- The Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA. [email protected].
- The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA. [email protected].
Abstract
AI is transforming healthcare, yet pediatric adoption remains limited and governance is underdeveloped. We review existing frameworks and identify pediatric-specific gaps: insufficient stakeholder engagement, developmentally appropriate consent/assent, limited bias mitigation, and unclear accountability. An analysis of FDA-cleared pediatric SaMDs shows radiology dominance while other specialties lag. We call for a pediatric-centric governance approach emphasizing transparency, inclusive participation, equitable data practices, and rigorous post-deployment monitoring to ensure safe, responsible integration.
Topics
Journal ArticleReview