Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
BACKGROUND: Disrupted sleep and circadian rhythms in dementia affect rest-activity patterns and impa...
BACKGROUND: Advances in artificial intelligence (AI) have revolutionized digital wellness by providi...
BACKGROUND: The complex brain changes involved in Alzheimer's disease (AD) development constitute a ...
Vascular dementia (VaD) is the second most common type of dementia, yet its pathogenesis is not full...
Brain imaging genetics aims to uncover the pathological mechanisms and improve the diagnosis of brai...
PURPOSE: There has been significant progress in detecting Alzheimer's disease (AD) using retinal ima...
BACKGROUND: Alzheimer's disease (AD) is increasingly recognized as a multifactorial network disorder...
Alzheimer's disease (AD) is characterized by progressive brain network disintegration, yet quantifyi...
OBJECTIVES: Amyloid-β (Aβ) PET is crucial for diagnosing and monitoring Alzheimer's disease (AD), bu...
This study presents Latent Diffusion Autoencoder (LDAE), a novel encoder-decoder diffusion-based fra...
OBJECTIVES: Amyloid-lowering immunotherapies can cause amyloid-related imaging abnormalities (ARIA),...
Alzheimer's disease (AD) -the most common form of dementia- begins with mild memory loss and gradual...
Deep learning algorithms optimize data by enhancing resolution and suppressing noise associated with...
PURPOSE OF REVIEW: Hypertension remains a leading modifiable risk factor for cardiovascular and rena...
Early identification of mild cognitive impairment (MCI) progressing to Alzheimer's disease (AD) is o...
Functional near-infrared spectroscopy quantifies cerebral hemodynamic signals by capturing oxygenati...
BACKGROUND: Mild cognitive impairment (MCI), a precursor to Alzheimer's disease (AD), requires preci...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decl...
BACKGROUND: Late-life depression (LLD) features recurrent episodes and frequently co-exists with cog...
Human cognition and behavior rely on the integration of large-scale neural networks that connect the...
BACKGROUND: Postoperative delirium is associated with increased morbidity, mortality, future cogniti...