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A multimodal deep learning framework integrating structural MRI and clinical biomarkers enables interpretable, four-stage classification of Alzheimer's disease, achieving high accuracy for non-demented and mild stages while highlighting the persistent difficulty of classifying very mild dementia. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

NeuroFusion for Robust and Explainable Multimodal Deep Learning in Fine-Grained Staging of Alzheimer's Disease Across Imaging and Clinical Biomarkers

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