aceRecommendations for the Development and Implementation of Generative Artificial Intelligence Tools in Pediatric Clinical Care: Policy Statement
The integration of generative artificial intelligence (GenAI) into pediatric health care offers exciting opportunities alongside critical challenges. GenAI tools, like large language models (LLMs), show promise in several health care applications, including but not limited to clinical decision support, documentation, and medical education across a wide range of pediatric subspecialties. However, real-world validation remains limited, and concerns persist around accuracy, bias, reliability, sustainability, and du…
In pediatric care, LLMs often underperform relative to adult specialties and risk exacerbating health disparities due to biased or nonrepresentative training data.
Real-world validation remains limited and concerns persist around accuracy, bias, reliability, sustainability, and durability, indicating evidence base is not yet sufficient for routine pediatric use.
Evidence
- Peer-reviewedPediatrics2026-10-03
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Truvace Impact Record TRV-2026-1273, v1: “Recommendations for the Development and Implementation of Generative Artificial Intelligence Tools in Pediatric Clinical Care: Policy Statement.” Truvace, 2026-10-04. /record/TRV-2026-1273 (accessed at citation time). sha256 df4ac66f64f56bbc…
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