Latest AI and machine learning research in geriatrics for healthcare professionals.
In Magnetic Resonance Imaging (MRI), the success of deep learning-based under-sampled MR image recon...
OBJECTIVE: To investigate the effect of a social robot intervention on sleep and motor activity in n...
BACKGROUND: The world is experiencing a dramatic increase in the aging population, challenging the s...
Easily accessible biomarkers for Alzheimer's disease (AD), Parkinson's disease (PD), frontotemporal ...
BACKGROUND AND OBJECTIVE: Alzheimer's disease (AD) is the most common type of dementia that can seri...
Frailty, one of the major public health problems in the elderly, can result from multiple etiologic ...
Artificial intelligence is increasingly being adopted in medical fields to predict various outcomes....
The common classifiers usually used to detect fall incidents depend on building and maintaining comp...
Dementia is a neurodegenerative disorder that affects the older adult population. To date, no cure o...
INTRODUCTION: Relationships between brain atrophy patterns of typical aging and Alzheimer's disease ...
Robot-aided gait training (RAGT) has been implemented to provide patients with spinal cord injury (S...
BACKGROUND: Alzheimer's Disease (AD) is a degenerative brain disorder that often occurs in people ov...
Functional MRI (fMRI) is a prominent imaging technique to probe brain function, however, a substanti...
Speech is controlled by axial neuromotor systems, therefore, it is highly sensitive to the effects o...
The benefits of automatic identification technologies in healthcare have been largely recognized. Ne...
A machine learning (ML) system is able to construct algorithms to continue improving predictions an...
BACKGROUND: Paro and other robot animals can improve wellbeing for older adults and people with deme...
Artificial intelligence (AI) will transform every step in the imaging value chain, including interpr...
BACKGROUND: As the population ages, the incidence of traumatic falls has been increasing. We hypothe...
OBJECTIVE: Efficient prediction of the progression of mild cognitive impairment (MCI) to Alzheimer's...
Cytometry technologies are essential tools for immunology research, providing high-throughput measur...