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Expert-guided policy revisions in language models can drastically improve diagnostic accuracy, achieving up to a 32.7 percentage point increase in Recall@1 for rare diseases.
AegisDx captures 78% of critical "must-not-miss" diagnoses, significantly outperforming traditional LLMs in both accuracy and safety.
