Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
Tertiary disease prevention for dementia focuses on improving the quality of life of the patient. Th...
INTRODUCTION: Alzheimer's disease (AD) is a complex and heterogeneous disease that affects neuronal ...
Early identification of individuals at risk of developing Alzheimer's disease (AD) dementia is impor...
INTRODUCTION: Robust and reliable attenuation correction (AC) is a prerequisite for accurate quantif...
OBJECTIVE: Emerging technologies such as social robots have shown to be effective in reducing loneli...
The Alzheimer's Disease Neuroimaging (ADNI) database is an expansive undertaking by government, acad...
OBJECTIVES: To test the effects of deploying a humanoid companion robot (Kabochan) in comparison wit...
OBJECTIVE: The aim of this research is to identify the stage of Alzheimer's Disease (AD) patients th...
The use of robot companion pets for people in care homes has been extensively studied. The results a...
Alzheimer's disease (AD) is a progressive incurable neurodegenerative disease and a major health pro...
Promoting health and prolonging independence in the home is a priority for older adults, caregivers,...
Tau pathology and brain atrophy are the closest correlate of cognitive decline in Alzheimer's diseas...
Fronto-temporal dementia (FTD) is a common type of presenile dementia, characterized by a heterogene...
The well-being of people with dementia (PWD) living in long-term care facilities is hindered due to ...
A major obstacle to treating Alzheimer's disease (AD) is our lack of understanding of the molecular ...
Loss of cognitive ability is commonly associated with dementia, a broad category of progressive brai...
This systematic review sought to evaluate the effectiveness of non-facilitated meaningful activities...
Several proteins including S-nitrosoglutathione reductase (GSNOR), complement Factor D, complement 3...
PURPOSE: We aimed to evaluate the performance of deep learning-based generalization of ultra-low-cou...
Traditional neuroimage analysis pipelines involve computationally intensive, time-consuming optimiza...
Many neurological diseases and delineating pathological regions have been analyzed, and the anatomic...