Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
A telepresence mobile robot is a remote-controlled, wheeled device with wireless internet connectivity for bidirectional audio, video and data transmission. In health care, a telepresence robot could be used to have a clinician or a caregiver assist seniors in their homes without having to travel to these locations. Many mobile telepresence robotic platforms have recently been introduced on the ma...
This paper presents a framework of simulation-based design for robotic care devices developed to reduce the burden of caregiver and care receivers. First, physical interaction between the user and device is quantitatively estimated by using a digital human simulator. Then we introduce a method for optimizing the design parameters according to given evaluation criteria. An example of trajectory opt...
In this paper, we present a novel tool to measure engagement in people with dementia playing board games and interacting with a social robot, Pleo. We...
The task of performing transfers, such as from a wheelchair to a bed, has a high risk of injury to both the caregiver and the person being transferre...
Artificial Intelligence (AI) is a very active Computer Science research field aiming to develop systems that mimic human intelligence and is helpful i...
Automatic and reliable segmentation of hippocampus from MR brain images is of great importance in studies of neurological diseases, such as epilepsy a...
BACKGROUND: Behavioral problems may affect individuals with dementia, increasing the cost and burden of care. Pet therapy has been known to be emotion...
BACKGROUND AND OBJECTIVE: This study aimed to develop a late-life dementia prediction model using a novel validated supervised machine learning method...
BACKGROUND: Alzheimer's disease (AD) is one of the most common lethal neurodegenerative disorders having impact on the lives of millions of people wor...
Alzheimer's disease (AD) is a neurological degenerative disorder that leads to progressive mental deterioration. This work introduces a computational ...
BACKGROUND: Alzheimer's disease (AD) is one of most serious threats to human beings, however, the treatment is hindered by blood-brain barrier and poo...
Multimodal classification methods using different modalities of imaging and non-imaging data have recently shown great advantages over traditional sin...
Alzheimer's disease (AD) is a common health problem in elderly people. There has been considerable research toward the diagnosis and early detection o...
There is currently no treatment for effectively slowing the progression of Alzheimer's disease, so early prevention is very important. Numerous studie...
BACKGROUND: Serum amyloid P-component (SAP) contributes to the clearance of apoptotic cells. As one of the main acute-phase reactants, SAP regulates k...
Extensive studies have been performed on acute mountain sickness (AMS), but biomarkers predicting AMS are lacking. Presently, the mainstay methods to ...
BACKGROUND: Alzheimer's disease (AD) has high a prevalence rate, high medical costs, and care difficulties, and has become a serious social and econom...
BACKGROUND: Assistive technology, in the form of a smart home environment, is employed to support people with dementia.
The study of brain networks by resting-state functional magnetic resonance imaging (rs-fMRI) is a promising method for identifying patients with demen...
This paper was aimed to investigate the impact of the extraction from raspberry on the Alzheimer disease model protein expression. According to weight...