[R] Toward Guarantees for Clinical Reasoning in Vision Language Models via Formal Verification

AI (VLM-based) radiology models can sound confident and still be wrong ; hallucinating diagnoses that their own findings don’t support. This is a silent, and dangerous failure mode.

This new paper introduces a verification layer that checks every diagnostic claim an AI makes before it reaches a clinician. When our system says a diagnosis is supported, it’s been mathematically proven – not just guessed. Every model tested improved significantly after verification, with the best result hitting 99% soundness.

🔗 https://arxiv.org/abs/2602.24111v1