Latest AI and machine learning research in work force for healthcare professionals.
Adoption of electronic medical records in hospitals generates a large amount of data. Health care pr...
This work concerns methods for automated rating of the progression of Multiple Sclerosis (MS). Often...
OBJECTIVE: The aim of the study was to compare the effects of progressive reducing assistance force ...
Digital health constitutes a merger of both software and hardware technology with health care delive...
The aim of this systematic review and meta-analysis was to evaluate the effectiveness of robot-assis...
This paper presents the development and real-time testing of an automated expert diagnostic teleheal...
BACKGROUND: An assist-as-needed robot-assisted gait training protocol was recently developed. It all...
Artificial intelligence and other forms of information technology are only just beginning to change ...
OBJECTIVE: Robot-assisted rehabilitation therapy of the upper extremity after stroke has been studie...
The population in advanced countries is rapidly aging, and these countries are faced with various is...
This paper presents an elbow training device using the Mechanically Adjustable Stiffness Actuator(MA...
Upper-limb rehabilitation training for hemiplegic patients has been primarily conducted by human the...
Clinical investigators have asserted patients should be active participants in the therapy process i...
This study is aimed at assessing of a robot intervention in a task-based upper-arm rehabilitation pr...
This paper presents a model of environment-human body interaction, which is critical for us to perfo...
Supervised machine learning algorithms, such as Artificial Neural Network (ANN), have been applied t...
Proper training of convolutional neural networks (CNNs) requires annotated training datasets oflarge...
With the aging of the society, the number of stroke patients has been increasing year by year. Compa...
Motor impairment is the most common symptom in multiple sclerosis (MS). Thus, a variety of new rehab...
This study explored the use of unsupervised machine learning to identify subgroups of patients with ...
This paper suggests a novel method of strengthening specific muscle groups in the lower limb during ...