Rheumatology

Fibromyalgia

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

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Showing 463-483 of 4,987 articles
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.

BACKGROUND: Chest radiograph interpretation is critical for the detection of thoracic diseases, incl...

Nov 2018 30457988
Improving Performance of Devanagari Script Input-Based P300 Speller Using Deep Learning.

The performance of an existing Devanagari script (DS) input-based P300 speller with conventional mac...

Oct 2018 30307853
Aiding the Digital Mammogram for Detecting the Breast Cancer Using Shearlet Transform and Neural Network.

Objective: Breast Cancer is the most invasive disease and fatal disease next to lung cancer in human...

Sep 2018 30256567
Modeling Neural Adaptation in Auditory Cortex.

Neural responses recorded from auditory cortex exhibit adaptation, a stimulus-specific decrease that...

Sep 2018 30233332
A rapid LC-MS/MS method for simultaneous determination of quetiapine and duloxetine in rat plasma and its application to pharmacokinetic interaction study.

Combinations of new antidepressants like duloxetine and second-generation antipsychotics like quetia...

Aug 2018 30648587
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...

Jul 2018 29995204
Effects of Major Components of Synovial Fluid on the Morphology and Wear Rate of Polyetheretherketone (PEEK) Particles under an Accelerated Wear Process.

Wear particle-induced biological responses are the major factors for the failure of total joint arth...

Jun 2018 30966669
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...

May 2018 29846797
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...

Mar 2018 29452575
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...

Feb 2018 29401754
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...

Feb 2018 29407288
Femoral Derotational Osteotomy Using a Modified Intramedullary Nail Technique.

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

Dec 2017 30542229
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...

Dec 2017 29278731
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...

Dec 2017 29262272
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...

Dec 2017 29332813
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...

Nov 2017 29249346
Robot-assisted assessment of muscle strength.

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

Oct 2017 29020968
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...

Jan 2017 28071599
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