Rheumatology

Fibromyalgia

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

5,224 articles
Stay Ahead - Weekly Fibromyalgia research updates
Subscribe
Browse Specialties
Showing 22-42 of 5,224 articles
Visualizing fatigue mechanisms in non-communicable diseases: an integrative approach with multi-omics and machine learning.

BACKGROUND: Fatigue is a prevalent and debilitating symptom of non-communicable diseases (NCDs); how...

A Hybrid Model of Feature Extraction and Dimensionality Reduction Using ViT, PCA, and Random Forest for Multi-Classification of Brain Cancer.

The brain serves as the central command center for the nervous system in the human body and is made...

Suitability of just-in-time adaptive intervention in post-COVID-19-related symptoms: A systematic scoping review.

Patients with post-COVID-19-related symptoms require active and timely support in self-management. J...

The Implications and Predictability of Sleep Reversal for People with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: A Machine Learning Approach.

BACKGROUND/OBJECTIVES: Impaired sleep is one of the core symptoms of myalgic encephalomyelitis/chron...

An online data-driven method for predicting crack propagation and remaining fatigue life via combining linear and nonlinear ultrasonic.

Ultrasonic features play a critical role in evaluating the structural integrity of metallic componen...

Deep ensemble framework with Bayesian optimization for multi-lesion recognition in capsule endoscopy images.

In order to address the challenges posed by the large number of images acquired during wireless caps...

Digital Biomarkers and AI for Remote Monitoring of Fatigue Progression in Neurological Disorders: Bridging Mechanisms to Clinical Applications.

Digital biomarkers for fatigue monitoring in neurological disorders represent an innovative approach...

Oxygen Uptake Prediction for Timely Construction Worker Fatigue Monitoring Through Wearable Sensing Data Fusion.

The physical workload evaluation of construction activities will help to prevent excess physical fat...

BrainTumNet: multi-task deep learning framework for brain tumor segmentation and classification using adaptive masked transformers.

BACKGROUND AND OBJECTIVE: Accurate diagnosis of brain tumors significantly impacts patient prognosis...

Circadian Rhythm of Heart Rate and Heart Rate Variability in Pregnancy.

The autonomic nervous system (ANS) regulates physiological changes during pregnancy, supporting feta...

Effects of Employee-Artificial Intelligence (AI) Collaboration on Counterproductive Work Behaviors (CWBs): Leader Emotional Support as a Moderator.

The accelerated advancement of artificial intelligence (AI) has positioned it as a novel colleague. ...

Surfactant-Enhanced Anti-Swelling Hydrogel Flexible Sensor for Machine Learning-Assisted Underwater Gesture Recognition.

Hydrogels hold great promise as flexible sensors. However, the development of hydrogel sensors with ...

Reinforcement Learning-Driven Path Generation for Ankle Rehabilitation Robot Using Musculoskeletal-Informed Energy Optimization.

In rehabilitation robotics, optimizing energy consumption and high interaction forces is essential t...

Combined effects of normobaric hypoxia and cold on respiratory system responses to high-intensity exercise.

Cold temperatures (<-15°C) increase exercise-induced bronchoconstriction (EIB), while hypoxic-induce...

OA-HybridCNN (OHC): An advanced deep learning fusion model for enhanced diagnostic accuracy in knee osteoarthritis imaging.

Knee osteoarthritis (KOA) is a leading cause of disability globally. Early and accurate diagnosis is...

Dynamic cross-domain transfer learning for driver fatigue monitoring: multi-modal sensor fusion with adaptive real-time personalizations.

Driver fatigue is one of the most common causes of road accidents, which means that there is a great...

Detecting wing fractures in chickens using deep learning, photographs and computed tomography scanning.

Animal welfare monitoring is a key part of veterinary surveillance in every poultry slaughterhouse. ...

Leveraging Artificial Intelligence for Digital Symptom Management in Oncology: The Development of CRCWeb.

UNSTRUCTURED: Digital health interventions offer promise for scalable and accessible healthcare, but...

Mismatch between warning information and protective behavior: Why experts + AI < 2?

Warning information plays a vital role in encouraging disaster preparedness among residents. Using s...

A dense multi-pooling convolutional network for driving fatigue detection.

Driver fatigue is one of the major causes of traffic accidents, particularly for drivers of large ve...

Performance Evaluation of Monocular Markerless Pose Estimation Systems for Industrial Exoskeletons.

Industrial exoskeletons (a.k.a. wearable robots) have been developed to reduce musculoskeletal fatig...

Browse Specialties