Latest AI and machine learning research in geriatrics for healthcare professionals.
Renal Fanconi syndrome (RFS) is caused by generalized proximal tubular dysfunction and can be divide...
BACKGROUND: Delirium is an acute confusional state, associated with morbidity and mortality in diver...
Structural magnetic resonance imaging (sMRI) has been widely used for computer-aided diagnosis of ne...
Heart failure and restrictive respiratory insufficiency are complications in muscular dystrophies. W...
BACKGROUND: The purpose of this study was to investigate whether tidal volume (TV) of 8 mL/kg withou...
The aims were to characterize follicular dynamics in response to supplemental progesterone (P4) and ...
Synthesized medical images have several important applications. For instance, they can be used as an...
Progesterone (P4) supplementation in early diestrus advances changes in the endometrial transcriptom...
We built and validated a deep learning algorithm predicting the individual diagnosis of Alzheimer's ...
OBJECTIVE: Despite the critical importance of pathologically confirmed samples for biomarker validat...
BACKGROUND AND AIMS: Combined probiotic and selenium supplementation may improve Alzheimer's disease...
Alzheimer's disease (AD), as a severe neurodegenerative disease, is now attracting more and more res...
We develop three efficient approaches for generating visual explanations from 3D convolutional neura...
As the cost of DNA sequencing continues to fall, an increasing amount of information on human geneti...
Robots in assisted living (RAL) are an alternative to support families and professional caregivers w...
PURPOSE: Axial transmission quantitative acoustics (ax-QA) has shown to be a promising tool for asse...
In the recent 5Â years (2014-2018), there has been growing interest in the use of machine learning (M...
Long noncoding RNAs (lncRNAs) can exert their function by interacting with the DNA via triplex struc...
BACKGROUND: The standard approaches to diagnosing autism spectrum disorder (ASD) evaluate between 20...
BACKGROUND AND PURPOSE: Pulmonary function testing is a standard part of care for patients admitted ...
OBJECTIVE: Despite the effective application of deep learning (DL) in brain-computer interface (BCI)...