When Documents Disagree: Measuring Institutional Variation in Transplant Guidance with Retrieval-Augmented Language Models

When Documents Disagree: Measuring Institutional Variation in Transplant Guidance with Retrieval-Augmented Language Models explores Quantify and improve inconsistencies in transplant patient education materials using retrieval-augmented language models to address critical information gaps.. Commercial viability score: 7/10 in Medical AI.