The pediatric AI readiness framework: bridging evidence to practice in pediatric artificial intelligence

Artificial intelligence (AI) presents a transformative opportunity for pediatric healthcare, promising advancements in early diagnosis, personalized treatment, and operational efficiency. However, the unique developmental, physiological, and ethical considerations inherent to children necessitate a specialized approach to AI integration. This study introduces the Pediatric AI Readiness (PAIR) Framework—a pediatric-focused implementation-readiness checklist intended to support clinicians, health system leaders, regulators, and developers as they plan, evaluate, and operationalize AI tools in pediatric settings. PAIR complements existing AI development, evaluation, and reporting guidance by focusing on institutional and workflow readiness for real-world use. It organizes readiness considerations across seven domains: ethics and governance, population and data representativeness, validation and testing, workflow integration, economic and sustainability analysis, low-resource adaptability, and transparent reporting. By prioritizing child-centric design, rigorous validation, and collaborative governance, the PAIR framework aims to bridge the critical gap between AI innovation and its responsible application, fostering improved design and healthier futures for children.

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Publication Details

Journal
Frontiers in Artificial Intelligence
Published
2026-05-01
DOI
https://doi.org/10.3389/frai.2026.1800047
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

The pediatric AI readiness framework: bridging evidence to practice in pediatric artificial intelligence

Emre Sezgin
Frontiers in Artificial Intelligence
Artificial Intelligence in Healthcare and Education
article

The pediatric AI readiness framework: bridging evidence to practice in pediatric artificial intelligence

Emre Sezgin
article en

Abstract

Artificial intelligence (AI) presents a transformative opportunity for pediatric healthcare, promising advancements in early diagnosis, personalized treatment, and operational efficiency. However, the unique developmental, physiological, and ethical considerations inherent to children necessitate a specialized approach to AI integration. This study introduces the Pediatric AI Readiness (PAIR) Framework—a pediatric-focused implementation-readiness checklist intended to support clinicians, health system leaders, regulators, and developers as they plan, evaluate, and operationalize AI tools in pediatric settings. PAIR complements existing AI development, evaluation, and reporting guidance by focusing on institutional and workflow readiness for real-world use. It organizes readiness considerations across seven domains: ethics and governance, population and data representativeness, validation and testing, workflow integration, economic and sustainability analysis, low-resource adaptability, and transparent reporting. By prioritizing child-centric design, rigorous validation, and collaborative governance, the PAIR framework aims to bridge the critical gap between AI innovation and its responsible application, fostering improved design and healthier futures for children.

Frontiers in Artificial IntelligenceVol. 9
Nationwide Children's Hospital (US), The Ohio State University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 11%
Artificial Intelligence in Healthcare and Education
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