Latest AI and machine learning research in fibromyalgia for healthcare professionals.
Upper-limb rehabilitation therapy sessions for post-stroke people generally contain rhythmic hand mo...
BACKGROUND: Surgeons are among the most at risk of work-related musculoskeletal health decline becau...
Advances in robotic technology have been adopted in various subspecialties of both open and minimall...
The biological visual system encodes optical information into spikes and processes them by the neura...
BACKGROUND: The master manipulator with position and posture decoupling and force feedback can impro...
PURPOSE: Surface electromyography (sEMG) is vulnerable to environmental interference, low recognitio...
To shed more light on the addictive power of the gabapentinoids (GPTs) gabapentin and pregabalin, we...
Aiming at the problem of fatigue state detection at the back of sports, a cascade deep learning dete...
While performing musculoskeletal long bone fracture reduction surgery, assistant surgeons can often ...
(GT) is a native perennial plant growing across the coastline areas in Taiwan. The current study ai...
BACKGROUND: Current robot-aided training allows for high-intensity training but might hamper the tra...
Gastric disease is a major health problem worldwide. Gastroscopy is the main method and the gold sta...
BACKGROUND: Fatigue is a common and subjective symptom, which is associated with many diseases and s...
One of the main requirements for orthodontic treatment is continuous image acquisition. However, the...
This article presents non-invasive sensing-based diagnoses of pneumonia disease, exploiting a deep l...
Lung cancer is one of the malignant tumors with the highest fatality rate and nearest to our lives. ...
On-line fatigue crack evaluation is crucial for ensuring the structural safety and reducing the main...
Liver fibrosis in chronic hepatitis B is the pathological repair response of the liver to chronic in...
Biological long short-term memory (B-LSTM) can effectively help human process all kinds of received ...
Background Accurate detection of arrhythmic events in the intensive care units (ICU) is of paramount...
Electroencephalography (EEG) signals collected from human brains have generally been used to diagnos...