Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
Effectively utilizing incomplete multi-modality data for diagnosis of Alzheimer's disease (AD) is st...
The diagnosis of Alzheimer's disease (AD) from neuroimaging data at the pre-clinical stage has been ...
BACKGROUND: Robots have the potential to both enable older adults with dementia to perform daily act...
Fluorescence represents one of the most powerful tools for the detection and structural characteriza...
AIM: The aim of this study was to investigate effects of robot-assisted group activity with Paro on ...
Longitudinal designs are widely used in medical studies as a means of observing within-subject chang...
Computer-aided diagnosis (CAD) systems constitute a powerful tool for early diagnosis of Alzheimer's...
Alzheimer's disease (AD) is an irreversible neurodegenerative disease and affects a large population...
BACKGROUND: Neurodegenerative diseases are incurable and debilitating indications with huge social a...
Brain network alterations in patients with Alzheimer's disease (AD) has been the subject of much inv...
Mild cognitive impairment (MCI) represents a transitional state between normal aging and Alzheimer's...
Interest in animal assisted interventions (AAI) has grown over the years, but acceptance of AAI by t...
Brain amyloid burden may be quantitatively assessed from positron emission tomography imaging using ...
A novel technique of quantitative EEG for differentiating patients with early-stage Creutzfeldt-Jako...
Sparse learning has been widely investigated for analysis of brain images to assist the diagnosis of...
Assistive technologies, such as robots, have proven to be useful in a social context and to improve ...
Alzheimer's disease is a degenerative brain disease that results in cardinal memory deterioration an...
Computer Aided Diagnosis (CAD) constitutes an important tool for the early diagnosis of Alzheimer's ...
BACKGROUND: A variety of group activities is promoted for nursing home (NH) residents with dementia ...
Neuroimaging-based single subject prediction of brain disorders has gained increasing attention in r...
Functional magnetic resonance imaging (fMRI) is one of the most promising noninvasive techniques for...