Latest AI and machine learning research in work force for healthcare professionals.
The rehabilitation robot is an application of robotic technology for people with limb disabilities. ...
BACKGROUND AND OBJECTIVE: The shortage of ophthalmologists in rural areas in China causes a lot of c...
BACKGROUND: Although gait disorders strongly contribute to perceived disability in people with Parki...
Bio-signal based assessment for upper-limb functions is an attractive technology for rehabilitation....
BACKGROUND: Balance impairments are common in patients with infratentorial stroke. Although robot-as...
Life expectancy is rising in most parts of the world as is the prevalence of chronic diseases. Subop...
This paper describes a robust and computationally feasible method to train and quantify the uncertai...
We used two simple unsupervised machine learning techniques to identify differential trajectories of...
. Robot-assisted therapy provides high-intensity arm rehabilitation that can significantly reduce st...
Recent years have witnessed the success of deep learning methods in human activity recognition (HAR)...
Labeling training data is increasingly the largest bottleneck in deploying machine learning systems....
PURPOSE: This trial aimed to validate the effectiveness of using the Gait Exercise Assist Robot (GEA...
This study investigated to what extent multimodal data can be used to detect mistakes during Cardiop...
According to diagnostic criteria, skin tumors can be divided into three categories: benign, low degr...
Robot-assisted gait training following acute stroke could allow patients with severe disability to r...
INTRODUCTION: Robot-assisted therapy for the upper limb (RT-UL) is an emerging form of intervention ...
Building spiking neural networks (SNNs) based on biological synaptic plasticities holds a promising ...
Different adaptation rates have been reported in studies involving ankle exoskeletons designed to re...
Robotics teleoperation enables human operators to control the movements of distally located robots. ...
We propose a new deep learning approach for medical imaging that copes with the problem of a small t...
The hippocampus is able to rapidly learn incoming information, even if that information is only obse...