This article provides an overview of the use of telepresence robots in clinical practice and describes an evaluation of an educational project in which distance-based nurse practitioner students used telepresence robots in clinical simulations with o...
Journal of computer assisted tomography
Jan 1, 2017
OBJECTIVE: The aim of this study was to diagnose lymph node metastasis of esophageal cancer by support vector machines model based on computed tomography.
BACKGROUND: The robotic Hybrid Assistive Limb (HAL) provides motion according to the wearer's voluntary activity. HAL training effects on walking speed and capacity have not been clarified in subacute stroke.
BACKGROUND AND OBJECTIVE: This study aimed to develop a late-life dementia prediction model using a novel validated supervised machine learning method, the Disease State Index (DSI), in the Finnish population-based CAIDE study.
BACKGROUND: Behavioral problems may affect individuals with dementia, increasing the cost and burden of care. Pet therapy has been known to be emotionally beneficial for many years. Robotic pets have been shown to have similar positive effects withou...
Automatic and reliable segmentation of hippocampus from MR brain images is of great importance in studies of neurological diseases, such as epilepsy and Alzheimer's disease. In this paper, we proposed a novel metric learning method to fuse segmentati...
American journal of physical medicine & rehabilitation
Jan 1, 2017
OBJECTIVE: The aim of this study was to understand the impact of training with a hand robotic device on hand paresis and function in a population of children with hemiparesis.
PURPOSE: Reduced flow in the internal carotid artery (ICA) is related to cerebral ischemia. We established a classification of reduced ICA flow through color-coded carotid duplex (CCD) sonography.
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