AI RESEARCH

DeepER-Med: Advancing Deep Evidence-Based Research in Medicine Through Agentic AI

arXiv CS.AI

ArXi:2604.15456v1 Announce Type: new 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 clinicians to assess the reliability of their outputs.