Latest AI and machine learning research in dementia for healthcare professionals.
Ensemble learning (EL), a machine learning technique that combines the results of multiple learning ...
BACKGROUND: Goals of care (GOC) conversations are an evidence-based practice that help clarify and a...
Mild cognitive impairment (MCI) represents an early stage of Alzheimer's disease (AD), characterized...
Telepresence robots can enhance social connection and support person-centered care in long-term care...
BACKGROUND: Cognitive impairment, indicative of Alzheimer disease and other forms of dementia, signi...
OBJECTIVE: To construct an Alzheimer's Disease Knowledge Graph (ADKG) by extracting and integrating ...
BACKGROUND: The aging population presents an accomplishment for society but also poses significant c...
Alzheimer's disease (AD) is the most common neurodegenerative disorder, yet its underlying mechanism...
The research aims to understand Alzheimer's genetic and immune landscapes using the amalgamation of ...
The most prevalent type of dementia and a progressive neurodegenerative disease, Alzheimer's disease...
Alzheimer's Disease (AD) as one of the most prevalent neurodegenerative disorders worldwide, charact...
BackgroundNeuroinflammation actively contributes to the pathophysiology of Alzheimer's disease (AD);...
Dual-task composed of gait or stepping tasks combined with cognitive tasks has been well-established...
Early and accurate diagnosis of Alzheimer's disease (AD) is crucial for effective treatment. While t...
Detecting Alzheimer's disease (AD) in its earliest stages, particularly during an onset of Mild Cogn...
The increases in the older population, the prevalence of dementia, and the resulting social costs ar...
A growing body of literature has examined the impact of neighborhood characteristics on Alzheimer's ...
BACKGROUND & OBJECTIVE: Alzheimer's Disease (AD) patients at multiple stages of disease progression ...
Alzheimer's disease (AD) is a neurodegenerative disorder that requires early diagnosis for effective...
In this paper, we propose a deep super-resolution generative adversarial network (DSR-GAN) combined ...
Alzheimer's disease (AD) represents a significant challenge due to its progressive neurodegenerative...