mlsanityData to 14 Oct 2026

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

arXiv 2609.14018 ↗First posted 12 Sep 2026cs.AI cs.CLcited by 0

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Abstract (arXiv)

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 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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 29 references that are in the map. First posted on arXiv 12 Sep 2026.

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5 of 29 references.

References · 5

  1. 2023CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquingcited by 783
  2. 2022Large Language Models are Better Reasoners with Self-Verificationcited by 307
  3. 2024Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrievalcited by 45
  4. 2025MedAgentBoard: Benchmarking Multi-Agent Collaboration with Conventional Methods for Diverse Medical Taskscited by 29
  5. 2026Multi-Agent Reasoning with Consistency Verification Improves Uncertainty Calibration in Medical MCQAcited by 2

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  1. 2026MultiDx: A Multi-Source Knowledge Integration Framework towards Diagnostic Reasoning
  2. 2026CLExEval: A Human-in-the-Loop Framework for Qualitative Evaluation of LLM Clinical Reasoning
  3. 2026VeriLLMed: Interactive Visual Debugging of Medical Large Language Models with Knowledge Graphs
  4. 2026A safety-oriented hypothetico-deductive framework for AI-assisted differential diagnosis
  5. 2026Clinical Reasoning Graphs: Structured Evaluation of LLM Diagnostic Reasoning Reveals Competence Without Consistency
  6. 2025MEDDxAgent: A Unified Modular Agent Framework for Explainable Automatic Differential Diagnosis
  7. 2025A Specialized Large Language Model for Clinical Reasoning and Diagnosis in Rare Diseases
  8. 2025DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models