Rheumatology

Fibromyalgia

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

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Showing 337-357 of 5,224 articles
Framework of Computer Aided Diagnosis Systems for Cancer Classification Based on Medical Images.

Early detection of cancer can increase patients' survivability and treatment options. Medical images...

Structural brain changes versus self-report: machine-learning classification of chronic fatigue syndrome patients.

Chronic fatigue syndrome (CFS) is a disorder associated with fatigue, pain, and structural/functiona...

A machine learning approach to detect changes in gait parameters following a fatiguing occupational task.

The purpose of this study is to provide a method for classifying non-fatigued vs. fatigued states fo...

Implementation of a Surface Electromyography-Based Upper Extremity Exoskeleton Controller Using Learning from Demonstration.

Upper-extremity exoskeletons have demonstrated potential as augmentative, assistive, and rehabilitat...

GWAS-based machine learning approach to predict duloxetine response in major depressive disorder.

Major depressive disorder (MDD) is one of the most prevalent psychiatric disorders and is commonly t...

Femoral Derotational Osteotomy Using a Modified Intramedullary Nail Technique.

When persistent rotation of the femur remains into adolescence, it can cause functional limitations ...

A test of the adaptive network explanation of functional disorders using a machine learning analysis of symptoms.

The classification and etiology of functional disorders is controversial. Evidence supports both psy...

Effects of carbohydrate mouth rinse and caffeine on high-intensity interval running in a fed state.

The current study aims to identify if mouth rinsing with a 6% carbohydrate mouth-rinse (CMR) solutio...

Fast and easy extraction of antidepressants from whole blood using ionic liquids as extraction solvent.

This study aims to prove that ionic liquids (ILs) can be used as extraction solvents in a liquid-liq...

Surface electromyography based muscle fatigue detection using high-resolution time-frequency methods and machine learning algorithms.

BACKGROUND AND OBJECTIVE: Surface electromyography (sEMG) based muscle fatigue research is widely pr...

Robot-assisted assessment of muscle strength.

Impairment of neuromuscular function in neurological disorders leads to reductions in muscle force, ...

Unsupervised frequency-recognition method of SSVEPs using a filter bank implementation of binary subband CCA.

OBJECTIVE: Recently developed effective methods for detection commands of steady-state visual evoked...

A Time to Pause and Reflect: When a Patient with Autoimmune Hepatitis Stops Responding to Corticosteroids.

Drug-induced liver injury (DILI) with features of autoimmunity (AI) is a challenging diagnosis to ma...

Tissue Liquefaction Liposuction for Body Contouring and Autologous Fat Transfer: A Retrospective Review Over 3 Years.

Tissue liquefaction lipoplasty is a novel, low-energy method cleared for use in aesthetic body cont...

Identifying Key Symptoms Differentiating Myalgic Encephalomyelitis and Chronic Fatigue Syndrome from Multiple Sclerosis.

It is unclear what key symptoms differentiate Myalgic Encephalomyelitis (ME) and Chronic Fatigue syn...

The extraction of motion-onset VEP BCI features based on deep learning and compressed sensing.

BACKGROUND: Motion-onset visual evoked potentials (mVEP) can provide a softer stimulus with reduced ...

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