# Agentic LLM reasoning in pediatric diabetes outcome prediction from multimodal medical records

Source: https://arxiv.org/abs/2610.40379
Published: 2026-10-29
Status: unreviewed source report

## Source excerpt (up to 25 words)

> Large language model (LLM) agents are proposed for clinical prediction but are untested in pediatrics, where cohorts are small and outcomes are uncommon. Using records

## Review question

Compare accepted end-to-end outcomes, tool permissions, intervention rate, recovery behavior and total cost on the same workload. A polished demo does not establish unattended reliability.

No independent proof check or claim of peer review.