Article

A Multi-Agent Large Language Model Reasoning Engine for Early Detection of Pediatric Growth Disorders

2026-08-31

Abstract excerpt

Routine childhood growth surveillance is a cornerstone of pediatric care. Growth pattern abnormalities are often early manifestations of chronic disease. Yet subtle abnormalities are frequently underrecognized, leading to diagnostic delays and avoidable morbidity. We introduce SPROUT (System for Pediatric Recognition Of Undiagnosed Trajectories), a generalized, multi-agent large language model (LLM) reasoning syst...

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Literature Corpus work: 505a6e87-eed3-5615-ac5f-8a39185c0429
DOI: 10.64898/2026.08.28.26361655

Open publication

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