Multimodal Attention-based Deep Learning for Alzheimer's Disease Diagnosis. (arXiv:2206.08826v2 [cs.LG] UPDATED)

Alzheimer's Disease (AD) is the most common neurodegenerative disorder with
one of the most complex pathogeneses, making effective and clinically
actionable decision support difficult. The objective of this study was to
develop a novel multimodal deep learning framework to aid medical professionals
in AD diagnosis. We present a Multimodal Alzheimer's Disease Diagnosis
framework (MADDi) to accurately detect the presence of AD and mild cognitive
impairment (MCI) from imaging, genetic, and clinical data. MADDi is novel in
that we use cross-modal …

alzheimer's arxiv attention deep learning diagnosis disease disease diagnosis multimodal