{
  "id": 5762,
  "url": "https://arxiv.org/abs/2604.15456v1",
  "title": "DeepER-Med: Advancing Deep Evidence-Based Research in Medicine Through Agentic AI",
  "summary": "Trustworthiness and transparency are essential for the clinical adoption of artificial intelligence (AI) in healthcare and biomedical research. Recent deep research systems aim to accelerate evidence-grounded scientific discovery by integrating AI agents with multi-hop information retrieval, reasoning, and synthesis. However, most existing systems lack explicit and inspectable criteria for evidence appraisal, creating a risk of compounding errors and making it difficult for researchers and clini",
  "authors": "Zhizheng Wang, Chih-Hsuan Wei, Joey Chan, Robert Leaman, Chi-Ping Day, Chuan Wu et al.",
  "category": "research",
  "topics": "healthcare,agents-autonomy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-16T18:17:24.000Z",
  "fetched_at": "2026-07-14T16:31:57.536Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5762",
  "original_url": "https://arxiv.org/abs/2604.15456v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}