N. Nishu

Multimodal Deep Attention Fusion of Longitudinal EHR and Diagnostic Imaging for Real-Time Sepsis and Deterioration Prediction in Critical Care

This work presents MedCross-Fusion, a novel multimodal deep learning framework that dynamically integrates irregular, longitudinal EHR time-series data with diagnostic chest radiography with robust, real-time risk stratification capable of reducing diagnostic latency in critical care settings.