SPIN Unprocessed October 27, 2026 ai_technology research
EviGround-CT: Sentence-to-Volume Grounding for Verifying LLM-Generated Chest CT Reports
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arXiv:2610.33038v1 Announce Type: new Abstract: Chest computed tomography (CT) reports generated by large language models (LLMs) can describe positive findings that lack localized evidence in the scan. We propose EviGround-CT to verify these findings after report generation. A deterministic extractor identifies positive finding sentences, and a 3D grounding model predicts an evidence mask for each sentence. Using the full sentence retains anatomical location, laterality, and descriptive modifier
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