Latest AI and machine learning research in dementia for healthcare professionals.
Computer Aided Diagnosis (CAD) constitutes an important tool for the early diagnosis of Alzheimer's ...
BACKGROUND: A variety of group activities is promoted for nursing home (NH) residents with dementia ...
Neuroimaging-based single subject prediction of brain disorders has gained increasing attention in r...
Functional magnetic resonance imaging (fMRI) is one of the most promising noninvasive techniques for...
Understanding the progression of chronic diseases can empower the sufferers in taking proactive care...
Although autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) continue...
Vision-based Pose Estimation (VPE) represents a non-invasive solution to allow a smooth and natural ...
This work is focused on mapping biomedical datasets to a common representation, as an integral part ...
As shown in the literature, methods based on multiple templates usually achieve better performance, ...
Insulin resistance is a risk factor for Alzheimer's disease (AD), although its role in AD etiology i...
The diagnosis of Alzheimer's disease (AD) requires a variety of medical tests, which leads to huge a...
Cerebrospinal fluid (CSF) concentrations of YKL-40 that serve as biomarker of neuroinflammation are ...
The Clock Drawing Test - a simple pencil and paper test - has been used for more than 50 years as a ...
Accurate diagnosis of Alzheimer's disease and its prodromal stage, i.e., mild cognitive impairment, ...
INTRODUCTION: Guidelines for the use of cerebrospinal fluid (CSF) biomarkers in the diagnosis of Alz...
The different discrete transform techniques such as discrete cosine transform (DCT), discrete sine t...
The study of engagement in people with dementia is important to determine the effectiveness of inter...
INTRODUCTION: Apathy, agitated behaviours, loneliness and depression are common consequences of deme...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder and the most common type of dem...
PURPOSE: Multifractal applications to resting state functional MRI (rs-fMRI) time series for diagnos...
Predicting disease risk and progression is one of the main goals in many clinical research studies. ...