Rheumatology

Fibromyalgia

Latest AI and machine learning research in fibromyalgia for healthcare professionals.

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EMG Data Augmentation for Grasp Classification Using Generative Adversarial Networks.

Electromyography (EMG) has been used as an interface for the control of robotic hands for decades bu...

Correlation Between Quality Evaluation Metrics and Teeth Detection Results in Panoramic X-Rays Using Deep Learning.

Panoramic images are one of the most requested exams by dentists for allowing the visualization of t...

Artificial Intelligence: Innovation to Assist in the Identification of Sono-anatomy for Ultrasound-Guided Regional Anaesthesia.

Ultrasound-guided regional anaesthesia (UGRA) involves the targeted deposition of local anaesthesia ...

A novel 3D-vision-based collaborative robot as a scope holding system for port surgery: a technical feasibility study.

OBJECTIVE: A clear, stable, suitably located vision field is essential for port surgery. A scope is ...

Computer-aided COVID-19 diagnosis and a comparison of deep learners using augmented CXRs.

BACKGROUND: Coronavirus Disease 2019 (COVID-19) is contagious, producing respiratory tract infection...

The Effects of EMG-Based Classification and Robot Control Method on User's Neuromuscular Effort during Real-Time Assistive Hand Exoskeleton Operation.

EMG-based intention recognition and assistive device control are often developed separately, which c...

Activity-Aware Deep Cognitive Fatigue Assessment using Wearables.

Cognitive fatigue is a common problem among workers which has become an increasing global problem. W...

Adaptive Cooperative Control for Hybrid FES-Robotic Upper Limb Devices: a Simulation Study.

Robotic systems and Functional Electrical Stimulation (FES) are common technologies exploited in mot...

Predicting 2-Day Mortality of Thrombocytopenic Patients Based on Clinical Laboratory Data Using Machine Learning.

BACKGROUND: Clinical laboratories have traditionally used a single critical value for thrombocytopen...

Case Report.

BACKGROUND: Thyroid hormone resistance (RTH) is defined as a decrease in response to thyroid hormone...

[Simultaneous determination of twelve antiepileptic drugs in serum by ultra high performance liquid chromatography-tandem mass spectrometry].

A sensitive, high-throughput method was established for the simultaneous determination of 12 antiepi...

Emerging Clinical Technology: Application of Machine Learning to Chronic Pain Assessments Based on Emotional Body Maps.

Depression and anxiety co-occur with chronic pain, and all three are thought to be caused by dysregu...

Partial directed coherence based graph convolutional neural networks for driving fatigue detection.

The mental state of a driver can be accurately and reliably evaluated by detecting the driver's elec...

Clinical History Segment Extraction from Chronic Fatigue Syndrome Assessments to Model Disease Trajectories.

Chronic fatigue syndrome (CFS) is a long-term illness with a wide range of symptoms and condition tr...

Image-guidance, Robotics, and the Future of Spine Surgery.

Spine surgery has seen considerable advancements over the last 2 decades, particularly in the fields...

A TrAdaBoost Method for Detecting Multiple Subjects' N200 and P300 Potentials Based on Cross-Validation and an Adaptive Threshold.

Traditional training methods need to collect a large amount of data for every subject to train a sub...

Successful Resuscitation of a Young Girl Who Drank Rivastigmine With Respiratory Failure.

Rivastigmine is a non-competitive reversible inhibitor of acetylcholinesterase which is approved as ...

Predicting post-experiment fatigue among healthy young adults: Random forest regression analysis.

The current study utilized a random forest regression analysis to predict post-experiment fatigue in...

Putting the "why" in "EHR": capturing and coding clinical cognition.

Complaints about electronic health records, including information overload, note bloat, and alert fa...

[A TrAdaBoost-based method for detecting multiple subjects' P300 potentials].

Individual differences of P300 potentials lead to that a large amount of training data must be colle...

Short-term Effects of Robot-Resistance Exercises on Muscle Strength and Activations: Types of Muscle Contraction and Speed of Contraction.

We developed the isokinetic exercise robot for single joint muscle training. The purpose of this stu...

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