Latest AI and machine learning research in dementia for healthcare professionals.
INTRODUCTION: Racial differences in exposure to area-level social determinants of health (SDoH) may contribute to distinct vulnerability profiles among people living with dementia. METHODS: This cross-sectional study used data from the OCHIN Community Health Equity Database to examine SDoH factors among patients with dementia and mild cognitive impairment. SDoH measures encompassed social, environ...
Alzheimer's disease is a progressive neurodegenerative disorder, and the most common cause of dementia, which causes 60-70 % of cases worldwide, and its prevalence is increasing by more than 55 million people globally, with an expected increase of 139 million cases by 2050. AD is characterized by Amyloid-β plaque deposition, tau hyperphosphorylation, synaptic dysfunction, neuroinflammation, and ox...
BACKGROUND: Parent management training (PMT) is an evidence-based intervention for children with disruptive behavior problems. However, access to care...
INTRODUCTION/OBJECTIVE: Alzheimer's disease (AD) can cause certain nervous disorders, which in turn can lead to voice disorders and abnormal values fo...
OBJECTIVE: Mild cognitive impairment (MCI) represents a critical prodromal stage associated with Alzheimer's disease and other age-related neurocognit...
BACKGROUND: Storytelling interventions have demonstrated substantial potential in improving emotional well-being, cognitive function, and quality of l...
BACKGROUND: Neurologists have a significant challenge due to the progressive nature of Alzheimer's disease (AD) and its severe effects on cognitive fu...
Alzheimer's disease (AD) is considered a leading form of dementia, found in the majority of individuals, and it accounts for the highest prevalence of...
Alzheimer's disease (AD) is a progressive and multifactorial neurodegenerative disorder and the leading cause of dementia worldwide, characterized by ...
Early identification of Alzheimer's disease (AD) and its prodromal stage, mild cognitive impairment (MCI), is important for timely clinical assessment...
This pilot study explored how adult day centers can serve as transformative clinical learning environments for nursing students to learn dementia care...
Developing diagnostic biomarkers for Alzheimer's disease (AD) is at the cutting edge of interdisciplinary research and technical advancement. This com...
This study investigates the application of machine learning (ML) techniques combined with neuroimaging and speech signal processing for the early dete...
BackgroundEye movement is a vital indicator of neurodegenerative diseases, brain health, and behavior. However, existing knowledge is limited to patie...
Alzheimer's disease (AD) is a progressive neurodegenerative disease of the nervous system, which has become an important public health issue attractin...
BACKGROUND: As the global population continues to age, the prevalence of geriatric conditions, including dementia and frailty, is also increasing. Ear...
Dementia is a growing global health challenge, with the majority of individuals living with dementia receiving care from family members. However, many...
OBJECTIVE: Alzheimer's disease, a progressive neurodegenerative disorder, involves neural, genetic, and proteomic factors and impacts multiple cogniti...
Population aging worldwide has intensified the need to understand how mental health in later life is shaped by both cultural norms and structural syst...
BACKGROUND AND PURPOSE: Electroencephalogram (EEG) signals play a vital role in analyzing neurological activity and diagnosing various neurological di...