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Explainable Federated Multimodal Deep Learning Framework for Early Alzheimer’s Disease Detection: Integrating MRI, Clinical Data, and Expert-Guided Few-Shot Learning with Privacy-Preserving Cross-Site Validation

2026-05-20

Abstract excerpt

<title>Abstract</title> <p>The early diagnosis of the Alzheimer disease (AD) is a critical issue in the field of healthcare, and the existing methods of diagnosis are often confined to the analysis of a single modality, inability to interpret the results, and the inability to generalize to different sites. The paper introduces an explicable federated multimodal deep learning architecture which combines structural...

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Literature Corpus work
2225a7d3-c3b4-58b6-bbfb-095b649e642b
DOI
10.21203/rs.3.rs-9342990/v1
Open publication

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Explainable Federated Multimodal Deep Learning Framework for Early Alzheimer’s Disease Detection: Integrating MRI, Clinical Data, and Expert-Guided Few-Shot Learning with Privacy-Preserving Cross-Site ValidationDOI 10.21203/rs.3.rs-9342990/v1
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