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arXiv: cs.AI preprintsInternational11 November 2026

Interleaving anatomical inspection and diagnostic reasoning for explainable radiology report generation

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arXiv:2611.14018v1 Announce Type: cross Abstract: Automated radiology report generation can draft clinically plausible reports, yet the pathway from visual evidence to reported findings remains opaque, leaving the diagnostic basis of these reports unexplained and the generated reports difficult to review or revise. We introduce ARIVE (Anatomy-guided Reasoning with Interleaved Visual Evidence), an explainable report generation framework that interleaves anatomical inspection with diagnostic reasoning prior to final report composition. To support this process, we constructed 159,416 multimodal c
Source: arXiv: cs.AI preprints

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