Latest AI and machine learning research in geriatrics for healthcare professionals.
Tau pathology and brain atrophy are the closest correlate of cognitive decline in Alzheimer's diseas...
Fronto-temporal dementia (FTD) is a common type of presenile dementia, characterized by a heterogene...
The well-being of people with dementia (PWD) living in long-term care facilities is hindered due to ...
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...
BACKGROUND: Falls in the elderly are a major public health concern because of their high incidence, ...
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...
BACKGROUND: Predictive patient stratification is greatly emerging, because it allows us to prospecti...
Interstitial lung diseases are a diverse group of disorders that involve inflammation and fibrosis o...
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...