Latest AI and machine learning research in geriatrics for healthcare professionals.
There is a limited evaluation of an independent linguistic battery for early diagnosis of Mild Cogni...
Stereotypes are cognitive shortcuts that facilitate efficient social judgments about others. Just as...
Relation extraction from biomedical text is important for clinical decision support applications. In...
The identification of drug-drug interactions (DDIs) is important for patient safety; yet, compared t...
OBJECTIVE: Predicting the risk of falls in advance can benefit the quality of care and potentially r...
DNA methylation of various genomic regions has been found to be associated with gene expression in d...
OBJECTIVES: To evaluate the effect of interaction with a robotic seal (PARO) on pain and behavioral ...
Predicting Alzheimer's Disease (AD) from Mild Cognitive Impairment (MCI) and Cognitive Normal (CN) h...
BACKGROUND: Concomitant use of complementary, multimodal imaging measures and neurocognitive measure...
Electro-stimulation or modulation of deep brain regions is commonly used in clinical procedures for ...
BACKGROUND: The detection of Alzheimer's Disease (AD) in its formative stages, especially in Mild Co...
OBJECTIVE: Osteoporosis is a prevalent and treatable condition, but it remains underdiagnosed. In th...
AIM: The primary aim of this study was to examine the impact of age, gender and the stage of dementi...
Coordinated brain activity reflects underlying cognitive processes and can be modeled as a network o...
Run-off-road (ROR) crashes have always been a major concern as this type of crash is usually associa...
Automatic skin lesion analysis of dermoscopy images remains a challenging topic. In this paper, we p...
Alzheimer's disease (AD) has become a severe medical challenge. Advances in technologies produced hi...
Attention based end-to-end speech synthesis achieves better performance in both prosody and quality ...
Throughout the process of aging, dynamic changes of bone material, micro- and macro-architecture res...
INTRODUCTION: Developing cross-validated multi-biomarker models for the prediction of the rate of co...
A key challenge in the field of cognitive neuroscience is to identify discriminable cognitive functi...