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Fibromyalgia

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

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Characterizing shared and distinct symptom clusters in common chronic conditions through natural language processing of nursing notes.

Data-driven characterization of symptom clusters in chronic conditions is essential for shared clust...

A Driving Performance Forecasting System Based on Brain Dynamic State Analysis Using 4-D Convolutional Neural Networks.

Vehicle accidents are the primary cause of fatalities worldwide. Most often, experiencing fatigue on...

MedFuseNet: An attention-based multimodal deep learning model for visual question answering in the medical domain.

Medical images are difficult to comprehend for a person without expertise. The scarcity of medical p...

A High-Efficiency Fatigued Speech Feature Selection Method for Air Traffic Controllers Based on Improved Compressed Sensing.

Air traffic controller fatigue has recently received considerable attention from researchers because...

A Liquid Metal Artificial Muscle.

Artificial muscles possess a vast potential in accelerating the development of robotics, exoskeleton...

Model-based data augmentation for user-independent fatigue estimation.

OBJECTIVE: User-independent recognition of exercise-induced fatigue from wearable motion data is cha...

Crack Length Measurement Using Convolutional Neural Networks and Image Processing.

Fatigue failure is a significant problem in the structural safety of engineering structures. Human i...

Generalized Deep Learning EEG Models for Cross-Participant and Cross-Task Detection of the Vigilance Decrement in Sustained Attention Tasks.

Tasks which require sustained attention over a lengthy period of time have been a focal point of cog...

What can artificial intelligence and machine learning tell us? A review of applications to equine biomechanical research.

Artificial intelligence (AI) and machine learning (ML) are fascinating interdisciplinary scientific ...

Predicting Fatigue in Long Duration Mountain Events with a Single Sensor and Deep Learning Model.

AIM: To determine whether an AI model and single sensor measuring acceleration and ECG could model c...

Memristor-Based Neural Network Circuit of Emotion Congruent Memory With Mental Fatigue and Emotion Inhibition.

Most memristor-based neural networks only consider a single mode of memory or emotion, but ignore th...

Axillary lymph node metastasis prediction by contrast-enhanced computed tomography images for breast cancer patients based on deep learning.

When doctors use contrast-enhanced computed tomography (CECT) images to predict the metastasis of ax...

Neural and computational mechanisms of momentary fatigue and persistence in effort-based choice.

From a gym workout, to deciding whether to persevere at work, many activities require us to persist ...

Analysis of Body Behavior Characteristics after Sports Training Based on Convolution Neural Network.

The use of artificial intelligence technology to analyze human behavior is one of the key research t...

Using Big Data-Based Neural Network Parallel Optimization Algorithm in Sports Fatigue Warning.

In high-paced and efficient life and work, fatigue is one of the important factors that cause accide...

Determination of Bridge Prestress Loss under Fatigue Load Based on PSO-BP Neural Network.

During the service period of a prestressed concrete bridge, as the number of cyclic loads increases,...

Targeted muscle effort distribution with exercise robots: Trajectory and resistance effects.

The objective of this work is to relate muscle effort distributions to the trajectory and resistance...

Factors to improve distress and fatigue in Cancer survivorship; further understanding through text analysis of interviews by machine learning.

BACKGROUND: From patient-reported surveys and individual interviews by health care providers, we att...

Medical imaging and computational image analysis in COVID-19 diagnosis: A review.

Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. Th...

Pixel-Level Fatigue Crack Segmentation in Large-Scale Images of Steel Structures Using an Encoder-Decoder Network.

Fatigue cracks are critical types of damage in steel structures due to repeated loads and distortion...

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