Article

Multi-Modal Contextual Reasoning for Neurological Disease Diagnosis with Vision-Language-Tabular Transformers

2025-11-03

Abstract excerpt

Accurate diagnosis of neurological disorders requires integrating information from medical images, clinical text, and structured patient data. Existing vision-language models struggle with effective fusion and contextual reasoning across these modalities, especially for conditions with limited data. To address this, we propose NeuroDiag-VLT (Neuro-Diagnostic Vision-Language-Tabular Transformer), a framework for co...

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Literature Corpus work: 08b19257-f145-58eb-b4f9-77f23e8614b8
DOI: 10.20944/preprints202511.0128.v1

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