Rheumatology

Fibromyalgia

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

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InstanceEasyTL: An Improved Transfer-Learning Method for EEG-Based Cross-Subject Fatigue Detection.

Electroencephalogram (EEG) is an effective indicator for the detection of driver fatigue. Due to the...

Graph Neural Network and Context-Aware Based User Behavior Prediction and Recommendation System Research.

Due to the influence of context information on user behavior, context-aware recommendation system (C...

Driver Fatigue Detection Based on Convolutional Neural Networks Using EM-CNN.

With a focus on fatigue driving detection research, a fully automated driver fatigue status detectio...

Optimization technique combined with deep learning method for teeth recognition in dental panoramic radiographs.

Computer-assisted analysis of dental radiograph in dentistry is getting increasing attention from th...

FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted features.

The precise and rapid diagnosis of coronavirus (COVID-19) at the very primary stage helps doctors to...

Aerobic Fitness is a Predictor of Body Composition in Women With Breast Cancer at Diagnosis.

BACKGROUND: The objective of this study was to investigate the relationship of aerobic fitness (AF) ...

Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank.

Coronavirus Disease 2019 (COVID-19) has rapidly spread worldwide since first reported. Timely diagno...

Discriminating between sleep and exercise-induced fatigue using computer vision and behavioral genetics.

Following prolonged swimming, cycle between active swimming bouts and inactive quiescent bouts. Swi...

A Deep-Learning Approach for Foot-Type Classification Using Heterogeneous Pressure Data.

The human foot is easily deformed owing to the innate form of the foot or an incorrect walking postu...

Esophagus segmentation from planning CT images using an atlas-based deep learning approach.

BACKGROUND AND OBJECTIVE: One of the main steps in the planning of radiotherapy (RT) is the segmenta...

ADR-Net: Context extraction network based on M-Net for medical image segmentation.

PURPOSE: Medical image segmentation is an essential component of medical image analysis. Accurate se...

Is there any association between low level of serum nesfatin-1 and fibromyalgia syndrome?

OBJECTIVES: This study aims to investigate the relationship between serum level of nesfatin-1 and fi...

Adaptive robot mediated upper limb training using electromyogram-based muscle fatigue indicators.

Studies on improving the adaptability of upper limb rehabilitation training do not often consider th...

Parametric investigation of the effects of load level on fatigue crack growth in trabecular bone based on artificial neural network computation.

This study reports the development of an artificial neural network computation model to predict the ...

EEG Signal and Feature Interaction Modeling-Based Eye Behavior Prediction Research.

In recent years, with the development of brain science and biomedical engineering, as well as the ra...

A generalized predictive control for remote cardiovascular surgical systems.

Robot-assisted cardiovascular surgery is used to avoid surgeon suffering from X-ray radiation and re...

Flexoskeleton Printing Enables Versatile Fabrication of Hybrid Soft and Rigid Robots.

One of the many secrets to the success and prevalence of insects is their versatile, robust, and com...

Deep learning approaches for sleep disorder prediction in an asthma cohort.

OBJECTIVE: Sleep is a natural activity of humans that affects physical and mental health; therefore,...

Machine Learning Diagnostic Modeling for Classifying Fibromyalgia Using B-mode Ultrasound Images.

Fibromyalgia (FM) diagnosis remains a challenge for clinicians due to a lack of objective diagnostic...

Early prediction of circulatory failure in the intensive care unit using machine learning.

Intensive-care clinicians are presented with large quantities of measurements from multiple monitori...

A review of methods for achieving upper limb movement following spinal cord injury through hybrid muscle stimulation and robotic assistance.

Individuals with tetraplegia, typically attributed to spinal cord injuries (SCI) at the cervical lev...

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