{
  "id": 18484,
  "url": "https://www.jmir.org/2026/1/e98026",
  "title": "Critical Care–Specific vs General-Purpose Large Language Models in Emergency Intensive Care Unit Diagnosis: Single-Center Retrospective Paired Comparative Study",
  "summary": "Background: The emergency intensive care unit (EICU) manages the most critically ill patients, where rapid and accurate diagnosis is essential yet challenging. Diagnostic error rates in this setting are more than twice as high as in general wards, with serious consequences for patient outcomes. Large language models (LLMs) have attracted growing interest as decision-support tools; however, direct comparative evidence between critical care–specialized and general-purpose LLMs across the admission",
  "authors": "Lihong Zheng, Zeyu Lin, Xiaolu Liu, Zhao Fan, Zhong He, Junjie Xu, Lu Yin",
  "category": "research",
  "topics": "healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-11T21:31:19.000Z",
  "fetched_at": "2026-08-12T05:10:43.828Z",
  "source_slug": "x-jmir-journal-of-medical-internet-researc",
  "source_name": "JMIR (Journal of Medical Internet Research)",
  "source_homepage": "https://www.jmir.org",
  "ethics_ai_record_url": "https://ethics.ai/record/18484",
  "original_url": "https://www.jmir.org/2026/1/e98026",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}