Latest AI and machine learning research in dementia for healthcare professionals.
Although medical research has been performed predominantly on men both in preclinical and clinical s...
INTRODUCTION: It is critical to develop accurate and universally available biomarkers for dementia d...
Artificial intelligence (AI) is becoming increasingly important in healthcare. This development trig...
Metabolic flux augmentation via glucose transport activation may be desirable in glucose transporter...
The gap between chronological age (CA) and biological brain age, as estimated from magnetic resonanc...
Alzheimer's Disease is the most common cause of dementia. Accurate diagnosis and prognosis of this d...
Previous research has shown the benefits of early detection and treatment of dementia. This detectio...
Deep learning (DL) on brain magnetic resonance imaging (MRI) data has shown excellent performance in...
BACKGROUND: Cognitive tests and biomarkers are the key information to assess the severity and track ...
BACKGROUND: Beta amyloid in the brain, which was originally confirmed by post-mortem examinations, c...
BACKGROUND: Alzheimer's disease has become one of the most common neurodegenerative diseases worldwi...
BACKGROUND: Social robots have demonstrated promising outcomes in terms of increasing the social hea...
BACKGROUND AND OBJECTIVE: Mild cognitive impairment (MCI) is a transitional state between normal agi...
Dementia affects the patient's memory and leads to language impairment. Research has demonstrated th...
Deep neural networks are increasingly used for neurological disease classification by MRI, but the n...
PURPOSE: We present a systematic literature review of dialogue agents for Artificial Intelligence (A...
Exploring individual brain atrophy patterns is of great value in precision medicine for Alzheimer's ...
Deep neural networks have been successfully applied to generate predictive patterns from medical and...
Selection of differentially expressed genes (DEGs) is a vital process to discover the causes of dise...
The study aims to implement a convolutional neural network framework that uses the 18F-FDG PET modal...
An objective biomarker to predict the outcome of isolated rapid eye movement sleep behavior disorder...