Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
This review highlights a collection of both diverse and highly impactful studies published in the pr...
INTRODUCTION: This study presents a novel multi-view learning approach for machine learning (ML)-bas...
AD is a progressive neurodegenerative disorder characterized by memory loss. Due to the advancement ...
This study investigates the effectiveness of amplitude transformation in enhancing the performance a...
Graph Neural Networks (GNNs) play a pivotal role in learning representations of brain networks for e...
The early detection of Alzheimer's Disease (AD) is thought to be important for effective interventio...
Alzheimer's disease (AD) profoundly affects brain tissue and network structures. Analyzing the topol...
Portable, low-field magnetic resonance imaging (LF-MRI) of the brain may facilitate point-of-care as...
Mounting evidence shows that Alzheimer's disease (AD) manifests the dysfunction of the brain network...
Analysis of functional connectivity networks (FCNs) derived from resting-state functional magnetic r...
BACKGROUND: Dementia rates are rising globally, impacting healthcare systems and society. The care o...
BACKGROUND: New or worsening cognitive impairment or dementia is common in older adults following an...
In neuroscience, phase synchronization (PS) is a crucial mechanism that facilitates information proc...
Alzheimer's disease is the most common cause of dementia in the elderly population (aged 65 years an...
: Caregivers experience high rates of occupational injuries, especially during wheelchair transfers,...
The application of deep learning techniques to analyze brain functional magnetic resonance imaging (...
Alzheimer's disease (AD), a prevalent neurodegenerative disorder, leads to progressive dementia, whi...
OBJECTIVE: Blood DNA methylation (DNAm) alterations have been widely reported in the onset and progr...
BACKGROUND: Alzheimer's disease (AD) is strongly associated with slowly progressive hippocampal atro...
OBJECTIVE: To apply machine learning approaches on EEG event-related oscillations (ERO) to discrimin...
BACKGROUND: Alzheimer's disease (AD) and vascular dementia (VaD) share overlapping pathophysiologica...