Keywords
epilepsy
medical imaging
Abstract
Multimodal clinical intelligence relies on the ability to connect medical imaging, neurological evidence, oncology knowledge, and patient-level clinical information. This topic focuses on an integrated evidence framework linking epilepsy reasoning with medical image interpretation, cancer-related visual analysis, immune microenvironment modeling, and exosome-based diagnostic evidence. Epilepsy reasoning benefits from structured knowledge graphs, while oncology and imaging tasks contribute additional multimodal data types, including DCE-MRI, low-dose medical imaging, melanoma images, and molecular biomarkers. The central challenge is to organize these heterogeneous sources into explainable clinical evidence rather than isolated predictive signals. Knowledge-based retrieval, visual representation learning, and biomedical entity alignment provide a basis for reliable decision support across neurological and oncological contexts. This direction supports cross-disease clinical intelligence systems that can connect imaging findings, molecular mechanisms, and evidence-intensive medical reasoning.
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