A Multimodal Approach for Early Identification of Mild Cognitive Impairment and Alzheimer’s Disease With Fusion Network Using Eye Movements and Speech

A Multimodal Approach for Early Identification of Mild Cognitive Impairment and Alzheimer’s Disease With Fusion Network Using Eye Movements and Speech

Detecting Alzheimer’s disease (AD) in its earliest stages, particularly during an onset of Mild Cognitive Impairment (MCI), remains challenging due to the overlap of initial symptoms with normal aging processes. Given that no cure exists and current medications only slow the disease&#...

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Bibliographic Details
Main Authors: Hasnain Ali Shah, Sami Andberg, Anne M. Koivisto, Roman Bednarik
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Alzheimer’s disease
deep learning
dementia
eye movements
eye-tracking
mild cognitive impairment
Online Access:https://ieeexplore.ieee.org/document/10965865/
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