{
  "id": 10602331,
  "title": "Large Language Models for Structured Clinical Data Analysis: Dual-Agent Grounding and Validation",
  "url": "https://urgent.news/2026/09/28/large-language-models-for-structured-clinical-data-analysis-dual",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-28T00:02:51.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.34039v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Objective: To develop and characterize CLEAR-Med, a dual-agent framework for natural-language analysis of structured clinical data that separates SQL-based invocation from independent validation. Methods: CLEAR-Med uses one agent to translate a question into executable Structured Query Language (SQL), retain the executed query and database result, and produce a draft. Deterministic checks and a…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}