Tag
This paper presents a modular medical imaging agent that verifies spatial relations in CT scans by decomposing tasks into parsing, localization, and geometric rules, achieving 94.1% accuracy and outperforming end-to-end vision-language models by 42.5 percentage points on a benchmark while ensuring auditable reasoning.