Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
BACKGROUND: Using remote monitoring technology in the context of Alzheimer disease (AD) care present...
INTRODUCTION: Like gray matter (GM), white matter (WM) BOLD functional signals change in preclinical...
BACKGROUND: Depression serves as a prodromal symptom of dementia, and individuals with depression ex...
The prevalence of dementia is growing worldwide due to the fast ageing of the population. Dementia i...
Parkinson's disease (PD) exhibits a variety of symptoms, with approximately 25% of patients experien...
While robot acceptance in different populations is well-studied, little is known about how individua...
Neurodegenerative diseases (NDD) are characterized by the progressive loss of neurons and the impair...
OBJECTIVE: Due to population aging, the increasing prevalence of Alzheimer's Disease (AD) and relate...
The recent emergence of wearable devices will enable large scale remote brain monitoring. This study...
BACKGROUND: Although dementia is a terminal condition, palliation can be a challenge for clinical se...
Butyrylcholinesterase (BChE), plays a critical role in alleviating the symptoms of Alzheimer's disea...
Developing effective treatments for Alzheimer's disease (AD) likely requires a deep understanding of...
There is an urgent need to develop tools to enable older adults to live healthy, independent lives f...
INTRODUCTION: Alzheimer's disease (AD), a leading cause of dementia, requires early detection for ef...
The Mary Tyler Moore Vision Initiative (MTM Vision) honors Mary Tyler Moore's commitment to ending v...
INTRODUCTION: Identifying individuals with dementia is crucial for prevalence estimation and service...
BACKGROUND: Primary healthcare institutions find identifying individuals with dementia particularly ...
White matter hyperintensities (WMH) are neuroimaging markers linked to an elevated risk of cognitive...
BACKGROUND: The global prevalence of dementia is significantly increasing. Early detection and preve...
Humanoid robots are increasingly being used in a number of domains. This paper focuses on reviewing ...
We applied machine learning techniques to build models that predict perceived risks and benefits of ...