Latest AI and machine learning research in dementia for healthcare professionals.
OBJECTIVES: To evaluate the effect of interaction with a robotic seal (PARO) on pain and behavioral ...
Predicting Alzheimer's Disease (AD) from Mild Cognitive Impairment (MCI) and Cognitive Normal (CN) h...
OBJECTIVES: Amyotrophic lateral sclerosis (ALS) is a rare neurodegenerative disease that is characte...
BACKGROUND: Concomitant use of complementary, multimodal imaging measures and neurocognitive measure...
BACKGROUND: The detection of Alzheimer's Disease (AD) in its formative stages, especially in Mild Co...
AIM: The primary aim of this study was to examine the impact of age, gender and the stage of dementi...
BACKGROUND: Informal caregivers report substantial burden and depressive symptoms which predict high...
Alzheimer's disease (AD) has become a severe medical challenge. Advances in technologies produced hi...
INTRODUCTION: Developing cross-validated multi-biomarker models for the prediction of the rate of co...
About 44.4 million people have been diagnosed with dementia worldwide, and it is estimated that this...
Alzheimer's disease (AD) is characterised by a dynamic process of neurocognitive changes from normal...
As a result of several years of European funding, progressive introduction of assistive technologies...
PURPOSE: Idiopathic normal pressure hydrocephalus (iNPH) and Alzheimer's disease (AD) are geriatric ...
BACKGROUND AND OBJECTIVES: Recently, longitudinal studies of Alzheimer's disease have gathered a sub...
Detection of early stages of Alzheimer's disease (AD) (i.e., mild cognitive impairment (MCI)) is imp...
Functional modules in the human brain support its drive for specialization whereas brain hubs act as...
Mild cognitive impairment (MCI) is the first sign of dementia among elderly populations and its earl...
Magnetic resonance (MR) imaging is a widely used imaging modality for detection of brain anatomical ...
PURPOSE: Knowing the course of Alzheimer's disease is very important to prevent the deterioration of...
Multi-modality based classification methods are superior to the single modality based approaches for...
BACKGROUND: Advances in artificial intelligence (AI), robotics and wearable computing are creating n...