Text-image alignment for ILD imaging: linking CXR evidence to CT quantification

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Interstitial lung disease (ILD) is a major cause of chronic respiratory failure, with fibrosis being a key marker of disease progression.
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Chest X-ray (CXR) is commonly used for initial screening of ILD, while high-resolution CT (HRCT) provides detailed quantitative assessments.
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A unified computational framework integrates CXR's accessibility with HRCT's quantification to enhance clinical decision-making in ILD care.
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ARCTIC-ILD is proposed as a multimodal agent for generating auditable radiology reports and improving text-guided CT segmentation.
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Despite advancements, challenges remain in controllability, semantic spatial disconnect, and auditing reproducibility in multimodal report generation.

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