Cross-modal triage network: a multimodal deep learning framework for severity-based triage and visual explainability in chest radiographs

Purpose: Increased number of chest radiograph (CXR) scans create a triage bottleneck, queueing urgent examinations behind routine ones. Existing AI tools are predominantly unimodal binary classifiers lacking severity awareness, and multimodal systems are rarely benchmarked against expert radiologist