NeuroMosaic links MRI regions to diagnostic language via an anatomical graph router and concept memory, reporting external macro-F1 up to 0.784, IDH AUROC 0.918, and 0.703 pointing accuracy, with a 0.036 macro-F1 gain over its strongest matched baseline.
Falcone, Pranav Rajpurkar, Eric J
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NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives
NeuroMosaic links MRI regions to diagnostic language via an anatomical graph router and concept memory, reporting external macro-F1 up to 0.784, IDH AUROC 0.918, and 0.703 pointing accuracy, with a 0.036 macro-F1 gain over its strongest matched baseline.