Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
Electroencephalography (EEG) is widely used as a non-invasive technique for the diagnosis of several...
BACKGROUND: Degradation of magnetic resonance imaging (MRI) remains a challenging issue, with noise ...
Early screening for Mild Cognitive Impairment (MCI) is crucial in delaying cognitive deterioration a...
A Support Vector Machine (SVM) based approach was developed to identify a pseudo-reference region fo...
Parkinson's disease (PD) is one of the most prominent motor disorder of adult-onset dementia connect...
Over 50 million people globally suffer from Alzheimer's disease (AD), emphasizing the need for effic...
Medical image classification using convolutional neural networks (CNNs) is promising but often requi...
BACKGROUND: Recent studies on machine learning have shown the potential to provide new methods with ...
PURPOSE: This study aimed to investigate a deep learning model to classify amyloid plaque deposition...
With over 55 million people globally affected by dementia and nearly 10 million new cases reported a...
Robotic animals are designed to resemble real, living animals, but at the same time, dementia care g...
Alzheimer's disease (AD) is a progressive neurological disorder. It is identified by the gradual shr...
Alzheimer's Disease is a neurodegenerative disorder, and one of its common and prominent early sympt...
PURPOSE: Transthyretin amyloid cardiomyopathy (ATTR-CM) is a frequent concomitant condition in patie...
The colloidal gold nanoparticle (AuNP)-based colorimetric lateral flow assay (LFA) is one of the mos...
OBJECTIVES: Alzheimer's disease (AD) is a common neurodegenerative disorder that primarily affects o...
Alzheimer's disease (AD) presents a significant challenge in neurodegenerative research and clinical...
Alzheimer's disease (AD) patients admitted to intensive care units (ICUs) exhibit varying survival o...
BACKGROUND: Cognitive impairment and dementia pose a significant challenge to the aging population, ...
Resting-state functional magnetic resonance imaging (rs-fMRI) has been widely used in the identifica...
BACKGROUND: Mild cognitive impairment (MCI) is the transition stage between the cognitive decline ex...