AI RESEARCH
Dialogue to Question Generation for Evidence-based Medical Guideline Agent Development
arXiv CS.LG
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ArXi:2603.23937v1 Announce Type: cross Evidence-based medicine (EBM) is central to high-quality care, but remains difficult to implement in fast-paced primary care settings. Physicians face short consultations, increasing patient loads, and lengthy guideline documents that are impractical to consult in real time. To address this gap, we investigate the feasibility of using large language models (LLMs) as ambient assistants that surface targeted, evidence-based questions during physician-patient encounters.