Latest AI and machine learning research in dementia for healthcare professionals.
Dementia spectrum disorders, characterized by progressive cognitive decline, pose a significant glob...
For the elderly population, falls pose a serious and increasing risk of serious injury and loss of...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that severely affects memory, b...
Due to demographic change, health economics is increasingly focused on the quality of life in advanc...
This study explores the factors influencing the availability of assistive technology for people with...
BACKGROUND: Exploring the early stages of Alzheimer's disease (AD) is crucial for timely interventio...
Imaging and genomic data offer distinct and rich features, and their integration can unveil new in...
BACKGROUND: Using remote monitoring technology in the context of Alzheimer disease (AD) care present...
Since Alzheimer's disease (AD) is a heterogeneous disease, different subtypes may have distinct biol...
Parkinson's disease (PD) exhibits a variety of symptoms, with approximately 25% of patients experien...
The prevalence of dementia is growing worldwide due to the fast ageing of the population. Dementia i...
BACKGROUND: Depression serves as a prodromal symptom of dementia, and individuals with depression ex...
Early detection of dementia is very crucial to ensure treatment begins on time, however it is diff...
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...
A wide variety of agentic AI applications - ranging from cognitive assistants for dementia patient...
BACKGROUND: Although dementia is a terminal condition, palliation can be a challenge for clinical se...
The recent emergence of wearable devices will enable large scale remote brain monitoring. This study...
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...
A three-dimensional convolutional neural network was developed to classify T1-weighted brain MRI s...