Latest AI and machine learning research in geriatrics for healthcare professionals.
BACKGROUND: While Walkbot-assisted locomotor training (WLT) provided ample evidence on balance and g...
BACKGROUND: Alzheimer's disease is characterized by a progressive pattern of cognitive and functiona...
The continuing development of robotics on the one hand and, on the other hand, the estimated relativ...
There has always been a need for discovering efficient and dependable Alzheimer's disease (AD) diagn...
BACKGROUND: Gene Ontology (GO) is a major bioinformatic resource used for analysis of large biomedic...
BACKGROUND: Several studies investigated clinical and instrumental differences to make diagnosis of ...
BACKGROUND: Disease progression prediction based on neuroimaging biomarkers is vital in Alzheimer's ...
Artificial intelligence (AI) has been studied in ophthalmology since availability of digital informa...
BACKGROUND: Efforts to identify important risk factors for cognitive impairment and dementia have to...
BACKGROUND: Machine learning (ML) is a promising technique for patient-specific prediction of mild c...
Chronic subdural hematomas (CSDHs) frequently affect the elderly population. The postoperative recur...
The neuropsychological scores and Functional Activities Questionnaire (FAQ) are significant to measu...
With the continuous development of artificial intelligence (AI) technology, big data-supported AI te...
BACKGROUND: In this study, we used a convolutional neural network (CNN) to classify Alzheimer's dise...
BACKGROUND: The ideal participants for Alzheimer's disease (AD) clinical trials would show cognitive...
BACKGROUND: Amyloid-β positivity (Aβ+) based on PET imaging is part of the enrollment criteria for m...
BACKGROUND: Accurate diagnosis of Alzheimer disease (AD) involving less invasive molecular procedure...
In recent years, more and more evidence indicates that long non-coding RNA (lncRNA) plays a signific...
MOTIVATION: Over the past two decades, a circular form of RNA (circular RNA), produced through alter...
We performed this research to 1) evaluate a novel deep learning method for the diagnosis of Alzheime...
Functional connectivity networks, derived from resting-state fMRI data, have been found as effective...