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VeriDx: Earning the Right to Diagnose with Disease-Centric Verification

Published 15 Sept 2026arXiv:2609.14018

data quality89

Updated 29 h ago · first seen 15 Sept 2026

paper_01M2JK0THZV08Q9R9218H7MKK0

Abstract

A correct diagnosis can still be reached for the wrong reasons. In clinical reasoning, every disease hypothesis creates obligations: key evidence must be checked, alternatives must be ruled out, contradictions must be resolved, useful tests must be considered, and closure must be justified. Current evaluations of medical LLMs mostly focus on final answers, local steps, or isolated facts, and therefore miss these hypothesis-induced commitments. We introduce \textbf{VeriDx}, a disease-centric verification framework that links free-form diagnostic reasoning to structured disease profiles. VeriDx tracks whether each hypothesis is satisfied, unresolved, or violated its clinical obligations, exposing failures such as missing critical tests, unresolved differentials, ignored contradictions, unsupported claims, and premature closure. We instantiate VeriDx for complex respiratory diagnosis using guideline-derived disease profiles and expert-annotated longitudinal cases. Our results show that many diagnostic errors are not isolated mistakes, but broken commitments made earlier in the reasoning process.

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Shuying ChenZhong Cao

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arXiv (Atom API + RSS)rss.arxiv.org/rss/cs.AI feedT1· Official21 h ago4
arXiv (Atom API + RSS)rss.arxiv.org/rss/cs.CL feedT1· Official21 h ago3

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