Article

Multi-Agent Dynamic Refinement Outperforms Static RAG in Clinical Reasoning for Complex Nephrology Cases

2026-07-16

Abstract excerpt

<h4>Background</h4> Large language models (LLMs) struggle with dynamic, longitudinal clinical reasoning. We developed a Multi-Stage Iterative Clinical Reasoning Agent framework to address this gap and systematically decouple the clinical efficacy of static retrieval-augmented generation (RAG) from dynamic self-refinement. <h4>Methods</h4> Ten complex longitudinal nephrology cases, rigorously selected via a modif...

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Literature Corpus work: 53d032b3-71c5-5481-8856-b02a47816272
DOI: 10.64898/2026.07.15.26358121

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