Latest AI and machine learning research in dementia for healthcare professionals.
BACKGROUND AND OBJECTIVES: Differentiation of Alzheimer's disease dementia (ADD) and dementia with L...
BACKGROUND: Optimal patient selection for the most effective BTK inhibitor (BTKi) partner of venetoc...
Alzheimer's disease (AD) patients are particularly vulnerable to pneumonia and subsequent respirator...
OBJECTIVE: Precision medicine requires drug repurposing methods that adapt to individual patient pro...
Alzheimer's disease (AD) is a leading neurodegenerative disorder and the primary cause of dementia, ...
OBJECTIVES: Leveraging routine electronic health records (EHR) for dementia detection is a growing f...
Disease-modifying therapies for Alzheimer's disease demand precise timing decisions, yet current pre...
Extended reality (XR), encompassing virtual reality (VR), augmented reality (AR), and mixed reality ...
INTRODUCTION: Racial differences in exposure to area-level social determinants of health (SDoH) may ...
Alzheimer's disease is a progressive neurodegenerative disorder, and the most common cause of dement...
BACKGROUND: Parent management training (PMT) is an evidence-based intervention for children with dis...
INTRODUCTION/OBJECTIVE: Alzheimer's disease (AD) can cause certain nervous disorders, which in turn ...
OBJECTIVE: Mild cognitive impairment (MCI) represents a critical prodromal stage associated with Alz...
BACKGROUND: Storytelling interventions have demonstrated substantial potential in improving emotiona...
BACKGROUND: Neurologists have a significant challenge due to the progressive nature of Alzheimer's d...
Alzheimer's disease (AD) is considered a leading form of dementia, found in the majority of individu...
Alzheimer's disease (AD) is a progressive and multifactorial neurodegenerative disorder and the lead...
Early identification of Alzheimer's disease (AD) and its prodromal stage, mild cognitive impairment ...
This pilot study explored how adult day centers can serve as transformative clinical learning enviro...
Developing diagnostic biomarkers for Alzheimer's disease (AD) is at the cutting edge of interdiscipl...
This study investigates the application of machine learning (ML) techniques combined with neuroimagi...