AI RESEARCH
When Documents Disagree: Measuring Institutional Variation in Transplant Guidance with Retrieval-Augmented Language Models
arXiv CS.AI
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ArXi:2603.21460v1 Announce Type: cross Patient education materials for solid-organ transplantation vary substantially across U. S. centers, yet no systematic method exists to quantify this heterogeneity at scale. We