Fibromyalgia

Mental workload classification using EEG in drivers: A personalized approach to occupational risk reduction.

BackgroundMental state is a key factor influencing occupational health and safety, particularly in professional drivers who are exposed to high cognitive demands during long driving hours. Understanding how mental workload varies across individuals is essential for reducing risks related to fatigue and distraction in transportation occupations.ObjectiveThis study classified mental workload using E...

[Technology-Enabled Nursing Practice: Clinical Decision Support, Early Warning Analytics, and Human-Centered Care].

This article was written to investigate technology-enabled nursing practice, with particular attention given to the integrated use of clinical decision support systems, artificial intelligence (AI)-driven early warning analytics, and human-centered care. As digital health technologies, electronic health records, remote monitoring, and AI continue to evolve rapidly, nursing practice has progressive...

[From Sensing to Decision: Leveraging Technology to Enhance Nursing Clinical Judgment].

With the rapid integration of Artificial Intelligence (AI), the Internet of Things, and sensing technologies into healthcare, the nursing frontline is...

Evaluation of an AI-Based Constraint-Optimization Scheduler to Optimize On-Call Schedule Equity and Reduce Administrative Burden in a Pediatric Residency: Retrospective Comparative Study.

BACKGROUND: Resident scheduling is a high-dimensional optimization problem with implications for workload, fatigue risk, and equity. Real-world evalua...

Human-inspired time-series health evaluation with an adaptive multimodal electronic skin.

Electronic skin powered with artificial intelligence could enable next-generation robotic and medical devices, yet integrating multimodal sensors and ...

Beyond alert fatigue: Automation bias, deskilling, and clinical decision-making in the age of AI.

Stress Reactions in Bone and Stress Fractures.

The term "stress fracture" encompasses a spectrum of bone injuries resulting from repetitive submaximal loading that exceeds the bone's capacity for r...

Effect of pilates exercises plus breastfeeding positioning adjustment on artificial intelligence-assessed craniovertebral angle in breastfeeding women with forward head posture: a randomized controlled trial.

Forward head posture (FHP), considered a neuromusculoskeletal disorder, includes those associated with breastfeeding. Pilates is recognized for improv...

Causal treatment effects of gait-analysis-informed surgery on the Gait Outcomes Assessment List in children with cerebral palsy.

AIM: To estimate the effect of surgery on parent-reported gait outcomes as measured using the Gait Outcomes Assessment List (GOAL) questionnaire in a ...

An explainable machine learning approach for cervical cancer screening: decoding morphological diagnostic drivers.

BACKGROUND: Cervical cancer screening in primary care is hindered by expert pathologist shortages and heavy diagnostic workloads, leading to fatigue-i...

Ultra-wideband radar to measure in vivo muscle forces.

Accurate measures of muscle forces are critical for engineers, clinicians, and biomechanists, yet direct measurement is highly invasive, and current e...

Deep learning for automated instance segmentation of residual roots in panoramic radiographs using mask R-CNN: A retrospective diagnostic accuracy study.

BACKGROUND: This study aimed to evaluate the efficacy of Mask regions with convolutional neural network (R-CNN) for the automated detection and segmen...

Characterization and Validation of EHR Computable Phenotypes for Long COVID Using Patient-Reported Symptoms: Insights from the Nationwide RECOVER Program.

OBJECTIVE: Long COVID (LC) remains poorly understood, and there is a critical need for advanced computational tools to better identify and characteriz...

Acoustic emission-based intelligent identification and dual early warning for coal fatigue failure under multistage cyclic loading.

To address the limitations of insufficient accuracy and timeliness in the early warning of coal instability under multistage cyclic loading, this pape...

Harnessing AI and social media to understand real-world patient experiences in SLE.

OBJECTIVE: To apply large language models (LLMs) to Reddit posts referencing SLE to identify patient-expressed unmet medical needs, symptom experience...

Deep behavioral phenotyping reveals novel features in a mouse model of metabolic dysfunction-associated steatohepatitis.

Patients with metabolic dysfunction-associated steatohepatitis (MASH) often suffer from a broad range of extrahepatic symptoms including fatigue and p...

Sex-specific predictors of lower-limb strength: an interpretable machine learning analysis of anthropometric and body composition measures.

Muscular strength is a key indicator of physical function. However, its direct laboratory assessment often requires specialized, high-cost equipment a...

Early Prediction of Critical Care Interventions From Pediatric Emergency Department Triage.

BACKGROUND AND OBJECTIVES: Most pediatric emergency departments (EDs) in the United States use Emergency Severity Index (ESI) system to triage patient...

SMFF-Net: Spatiotemporal-frequency Multi-domain Feature Fusion Network for EEG-based brain state detection.

The timely and reliable detection of driver fatigue is crucial for reducing driving risks and improving traffic safety. EEG-based deep learning approa...

Bias and Fairness Across the Healthcare AI Lifecycle: A Clinician-Oriented Review.

Artificial intelligence (AI) is increasingly being investigated and, in selected clinical settings, implemented to support diagnosis, triage, and work...