{
  "url": "https://appliedfrontier.nl/en/research/signal-5fa15500b21b234e/",
  "title": "Agentic LLM reasoning in pediatric diabetes outcome prediction from multimodal medical records",
  "published": "2026-10-29",
  "excerpt": "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",
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  "id": "signal-5fa15500b21b234e",
  "org": "Research community",
  "topic": "Agent systems",
  "source_kind": "preprint",
  "status": "unreviewed-source-report",
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  "checked_at": "2026-11-01T14:17:04+00:00",
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}