Fibromyalgia

Targeted Real-Time Assessment of Chronic Pain (TRAC-Pain) in Youth: Protocol for a Digital Biosignature Development Through a Prospective Observational Cohort Study.

BACKGROUND: Approximately 1 in 5 children and adolescents live with chronic pain, with musculoskeletal (MSK) pain being one of the most prevalent subtypes. Unfortunately, some studies show that less than half of youth (<18 years) experience improvements with existing evidence-based treatments. Self-report measures-the current gold standard for monitoring the pain experience-are limited in their us...

Prediction of post-COVID chronic fatigue syndrome using data mining and machine learning techniques in Isfahan COVID cohort study.

BACKGROUND: Post-COVID Fatigue (PCF) is one of the most common issues people face after recovering from COVID-19. Due to the heterogeneity of clinical manifestations and the lack of objective diagnostic criteria, the identification and prediction of PCF remain challenging. This study aimed to use data mining and machine learning techniques for prediction of PCF. METHODS: We analyzed data from 3850...

Integrative Dermatology for Longevity: The Synergy of Topical and Internal Approaches.

Skin aging reflects both intrinsic biological decline and extrinsic influences collectively known as the skin exposome, including ultraviolet (UV) rad...

An Intelligent Interactive Management Platform for Rheumatoid Arthritis Care: Real-World Observational Study.

BACKGROUND: Effective postdischarge management is essential for maintaining disease control and improving long-term outcomes in rheumatoid arthritis (...

A Conversational Platform (Okaya) for Multimodal Digital Biomarkers of Fatigue, Cognition, and Mental Health: Feasibility Observational Study.

BACKGROUND: Collection of multimodal data (video, audio, and text) can yield digital biomarkers relevant to mental health, fatigue, and cognition. How...

Training an AI Chatbot to Manage Health in Underserved Populations: Methodological Approach.

BACKGROUND: Health disparities such as morbidity and mortality among childbearing women remain high in the United States, especially among those with ...

Anterior midcingulate cortex activity during pain catastrophizing predicts and sequentially tracks reduction in pain interference after cognitive behavioral therapy in fibromyalgia.

Fibromyalgia (FM) is a chronic pain disorder characterized by widespread pain, fatigue, and functional disability. Cognitive behavioral therapy (CBT) ...

LDIE-FDNet: Lightweight dynamic image enhancement-enabled real-time fatigue driving detection network.

Aiming at the imbalance between accuracy and real-time of existing fatigue driving detection models, and the accuracy is lower in low illumination, an...

A Machine learning framework for calf muscle fatigue assessment using IMU sensors and EMG-Based labeling.

PURPOSE: Calf muscle fatigue detection is essential for sports performance monitoring, injury prevention, rehabilitation, and tasks involving prolonge...

Attention unleashed: Creative therapy for thoughtful transformation.

Various factors-motivation, interest, fatigue, and external stimuli-influence creative mental processes and attention control (AC). Creative thinking ...

A Machine Learning Approach to Predict Objective and Subjective Low Back Fatigue Using Postural Control Features During Sustained Trunk Flexion.

OCCUPATIONAL APPLICATIONSThis study investigated whether tree-based machine learning algorithms can predict objective (EMG-based) and subjective (Borg...

A machine learning model to predict cancer-related fatigue: clinical discrimination using likelihood ratios.

Beyond the Hype: Understanding the Limits, Errors and Risk Areas of Artificial Intelligence in Gastroenterology.

Artificial intelligence (AI) has rapidly expanded across gastroenterology, enabling advances in real-time endoscopic detection, radiologic interpretat...

A fatigue driving detection method based on driver posture and facial state analysis.

Developing AI-Powered Virtual Patient Chatbots for Diagnostic Reasoning Training.

PROBLEM: Diagnostic reasoning, the cognitive process of interpreting clinical information to arrive at a diagnosis, is a critical competency in medica...

Fatigue Identification Models for Firefighters Based on Electrocardiogram Signals.

OBJECTIVE: To identify physiological indicators and develop effective models for recognizing training-induced physical fatigue in firefighters. METHOD...

A Sensor based turning dataset for data-driven surface roughness estimation.

Surface roughness is a critical parameter in machining, as it affects the corrosion resistance and fatigue properties of the finished workpiece. For d...

Differential Factors Associated With the Presence of Persistent Symptoms in Individuals Diagnosed With Long COVID: Protocol for a Longitudinal Matched Case-Control Study.

BACKGROUND: Long COVID (postacute sequelae of SARS-CoV-2 infection) is a heterogeneous condition with persistent multisystem symptoms and substantial ...

Simultaneous detection of physical and mental fatigue using limited-channel EEG for practical workplace monitoring.

Technostress in the Era of Generative Artificial Intelligence: Mental Health Implications in Medical Education.

OBJECTIVE: Generative artificial intelligence (GenAI) has rapidly expanded across education. While its educational benefits are widely recognized, con...