Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
BACKGROUND: Dementia's diagnostic protocols are mostly based on standardised neuroimaging data colle...
BACKGROUND: In the past few years there has been a growing interest in the employment of verbal prod...
A robust cascaded deep learning framework with integrated hippocampal gray matter (HGM) probability ...
Cell-penetrating peptides (CPPs) have great potential to deliver bioactive agents into cells. Althou...
OBJECTIVES: Hippocampal characterization is one of the most significant hallmarks of Alzheimer's dis...
Explainable artificial intelligence (XAI) is of paramount importance to various domains, including h...
Deep learning algorithms have a huge influence on tackling research issues in the field of medical i...
Neuropathologic assessment during autopsy is the gold standard for diagnosing neurodegenerative diso...
BACKGROUND AND OBJECTIVE: The purpose of our study was to explore the immediate and long-term effect...
The prognosis and treatment of patients suffering from Alzheimer's disease (AD) have been among the ...
Dementia poses a growing challenge for health services but remains stigmatized and under-recognized....
. This study aims to design and implement the first deep learning (DL) model to classify subjects in...
This study aimed to explore nurses' perceptions towards care robots and their work experiences in ca...
INTRODUCTION: Machine learning research into automated dementia diagnosis is becoming increasingly p...
Alzheimer's disease (AD) is the most common form of dementia. Computer-aided diagnosis (CAD) can hel...
Every year, millions of brain magnetic resonance imaging (MRI) scans are acquired in hospitals acros...
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...
OBJECTIVE: Neuropsychologists widely use the Rey-Osterrieth complex figure test (RCFT) as part of ne...
Metabolic flux augmentation via glucose transport activation may be desirable in glucose transporter...