arXiv AI
RES-MR: Risk-Aware Reasoning for Explainable and Safe Medication Recommendation
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Evaluating Counterfactual Sensitivity to Patient Information in Medication-Safety Reasoning
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HEM-Med: A Hierarchical Agentic Memory Framework for Safe Multi-Center Medication Recommendation
Medication recommendation (MR) is critical for clinical decision support. While existing MR methods are mostly designed for single-center learning, where only one independent hospital is involved, mul...
arXiv AI
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DrugReason: Dynamic Multi-View Reasoning over Knowledge Graph and Language Evidence for Drug Repurposing
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Cite What You Explore: Budget-Aware LLM Reasoning over Medical KGs with Verifiable Evidence
The paper introduces BAR, a Budget‑Aware LLM Reasoning framework that enhances post‑discharge risk prediction by integrating external medical knowledge graphs (KGs). BAR refines KGs into disease‑specific evidence graphs with support scores and provenance, then uses an LLM to plan, navigate, and verify evidence within a patient‑specific budget. Experiments on MIMIC‑III and MIMIC‑IV across eight diseases show BAR improves AUPRC by 3.4 points, raises citation precision from 59.8% to 77.9%, and uses only 62‑65% of the allotted budget.