Latest AI and machine learning research in fibromyalgia for healthcare professionals.
Electromyography (EMG) has been used as an interface for the control of robotic hands for decades bu...
Passive and active exoskeletons have been used over recent decades. However, regarding many physiolo...
Early rehabilitation is beneficial for stroke patients, but it is often delayed since the patients a...
Panoramic images are one of the most requested exams by dentists for allowing the visualization of t...
BACKGROUND: Coronavirus Disease 2019 (COVID-19) is contagious, producing respiratory tract infection...
OBJECTIVE: A clear, stable, suitably located vision field is essential for port surgery. A scope is ...
Ultrasound-guided regional anaesthesia (UGRA) involves the targeted deposition of local anaesthesia ...
Robotic systems and Functional Electrical Stimulation (FES) are common technologies exploited in mot...
Cognitive fatigue is a common problem among workers which has become an increasing global problem. W...
EMG-based intention recognition and assistive device control are often developed separately, which c...
BACKGROUND: Clinical laboratories have traditionally used a single critical value for thrombocytopen...
BACKGROUND: Thyroid hormone resistance (RTH) is defined as a decrease in response to thyroid hormone...
A sensitive, high-throughput method was established for the simultaneous determination of 12 antiepi...
The mental state of a driver can be accurately and reliably evaluated by detecting the driver's elec...
Depression and anxiety co-occur with chronic pain, and all three are thought to be caused by dysregu...
Chronic fatigue syndrome (CFS) is a long-term illness with a wide range of symptoms and condition tr...
Spine surgery has seen considerable advancements over the last 2 decades, particularly in the fields...
Traditional training methods need to collect a large amount of data for every subject to train a sub...
Rivastigmine is a non-competitive reversible inhibitor of acetylcholinesterase which is approved as ...
The current study utilized a random forest regression analysis to predict post-experiment fatigue in...
Complaints about electronic health records, including information overload, note bloat, and alert fa...