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A safety-oriented hypothetico-deductive framework for AI-assisted differential diagnosis

arXiv cs.AI · 2026-07-10 Cached

AegisDx is a safety-oriented framework that uses specialized LLM components and verification gates for hypothetico-deductive clinical reasoning, improving differential diagnosis accuracy by 7-17 percentage points over standalone LLMs on medical case reports.

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