Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
BACKGROUND: Alzheimer's disease (AD) is the most common type of dementia, typically characterized by...
Alzheimer's disease (AD) is a neurodegenerative disease with an irreversible and progressive process...
The classification of Alzheimer's disease (AD) using deep learning methods has shown promising resul...
As the number of patients with Alzheimer's disease (AD) increases, the effort needed to care for the...
Bioelectric medicine leverages natural signaling pathways in the nervous system to counteract organ ...
Dementia of Alzheimer's type (DAT) is associated with devastating and irreversible cognitive decline...
Human evolution has regularly intersected with technology. Digitalization of various services has br...
Data collected from clinical trials and cohort studies, such as dementia studies, are often high-dim...
Robotic seals have been studied in long-term care settings; though, no studies of patients with deme...
People with dementia often experience loneliness and social isolation. This can result in increased ...
Amyloid is generally an aggregate of insoluble fibrin; its abnormal deposition is the pathogenic mec...
Increasingly music has been shown to have both physical and mental health benefits including improve...
BACKGROUND: The identification of early mild cognitive impairment (EMCI), which is an early stage of...
BACKGROUND: SymptomGuide Dementia (DGI Clinical Inc) is a publicly available online symptom tracking...
BACKGROUND AND PURPOSE: Limited evidence has suggested that a deep learning automatic brain segmenta...
BACKGROUND AND OBJECTIVES: Dementia is one of the brain diseases with serious symptoms such as memor...
Amyloid-β(Aβ) PET positivity in patients with suspected cerebral amyloid angiopathy (CAA) MRI marker...
PURPOSE: PET measures of amyloid and tau pathologies are powerful biomarkers for the diagnosis and m...
Identifying the symptoms of the early stages of dementia is a difficult task, particularly for older...
Identifying predictors of suicide attempts is critical in intervention and prevention efforts, yet f...
As stroke mortality rates decrease, there has been a surge of effort to study poststroke dementia (P...