Latest AI and machine learning research in geriatrics for healthcare professionals.
Fronto-temporal dementia (FTD) is a common type of presenile dementia, characterized by a heterogene...
A major obstacle to treating Alzheimer's disease (AD) is our lack of understanding of the molecular ...
When deep convolutional neural networks (CNNs) are trained "end-to-end" on raw data, some of the fea...
Monitoring patients through robotics telehealth systems is an interesting scenario where patients' c...
Loss of cognitive ability is commonly associated with dementia, a broad category of progressive brai...
We want to predict body weight while lying in bed for an elderly patient who is unable to move by hi...
Several proteins including S-nitrosoglutathione reductase (GSNOR), complement Factor D, complement 3...
INTRODUCTION: Care robots are machines, operating partly or completely autonomously, that are intend...
Given that mobile soft robots are adaptable to the environment, they are always tethered with slow l...
Machine learning (ML) methods have the potential to automate clinical EEG analysis. They can be cate...
The social impact of robotics applied to domains such as education, religion, nursing, and therapy a...
BACKGROUND: The number of applications of deep learning algorithms in bioinformatics is increasing a...
Traditional neuroimage analysis pipelines involve computationally intensive, time-consuming optimiza...
INTRODUCTION: Demographic changes in society and fewer personnel working in healthcare services have...
Many neurological diseases and delineating pathological regions have been analyzed, and the anatomic...
In this paper, we embed two types of attention modules in the dilated fully convolutional network (F...
Alzheimer's disease (AD) is the most common cause of dementia and a progressive neurodegenerative co...
The topic of sparse representation of samples in high dimensional spaces has attracted growing inter...
The prediction of Mild Cognitive Impairment (MCI) patients who are at higher risk converting to Alzh...
Subtle changes in white matter (WM) microstructure have been associated with normal aging and neurod...
This study aims to develop a prototype of an autonomous robotic device to assist the locomotion of t...