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Clinicians trust AI recommendations nearly 3x more when those recommendations are broken down into verifiable facts linked to source guidelines, blowing traditional explainability out of the water.
A retrieval-augmented generation system that grounds LLM responses in authoritative guideline content that significantly outperformed the standalone LLM in all metrics and suggest that grounded RAG systems have significant potential to enhance clinical guideline accessibility but require further validation before clinical deployment.
