A Modular Agent for Reliable and Auditable Spatial Relation Verification in CT Scans
This paper introduces a modular medical imaging agent that enhances reliable and auditable spatial relation verification in CT scans by decomposing the task into language parsing, anatomical localization, and deterministic geometric verification, achieving significantly higher accuracy and interpretability than end-to-end vision-language models.