Fibromyalgia

Technology fatigue, cognitive load, and clinician well-being in modern anesthesia practice.

PURPOSE OF REVIEW: Medical devices like physiologic monitors, anesthesia machines, and ventilators, are designed by biomedical engineers but used by clinicians. Advanced medical technology can be incorporated into clinical practice safely, but addressing alarm fatigue, resilience, automation complacency, and clinician wellbeing will help to maintain and improve patient safety. RECENT FINDINGS: The...

Machine Learning Models for Predicting Pain, Fatigue, Depression, Anxiety, and Malnutrition in Cancer Patients: A Systematic Review and Meta-Analysis.

INTRODUCTION: Cancer-related symptoms including pain, fatigue, depression, anxiety, and malnutrition drive poor quality of life and adverse clinical outcomes in cancer patients. While machine learning (ML) models are increasingly developed to predict these symptoms, existing studies are marked by significant heterogeneity in algorithms, sample sizes, and predictors, and lack quantitative synthesis...

Navigating uncertainty matters: Evaluating large language models for drug-drug interaction identification.

BACKGROUND: Accurate detection of drug-drug interactions (DDIs) is a fundamental component of safe medication management. Traditional rule-based clini...

Artificial intelligence in emergency medicine: from algorithmic performance to real-world clinical integration - understanding the implementation gap.

BACKGROUND: Emergency departments (EDs) operate under time pressure, diagnostic uncertainty, and cognitive overload. Artificial intelligence (AI)-driv...

Critical result thresholds and notification practices in clinical laboratories.

Laboratory medicine plays an important role in clinical decision-making. The timely notification of results requiring medical attention is therefore e...

Synergistic cell-wall architecture tuning and skeleton reinforcement for wood sponges with superelasticity and exceptional fatigue resistance.

Elastic wood sponges are sustainable, low-cost, and multifunctional materials that have gained extensive attention and rapid development. However, the...

MTGNet: A task-oriented and spectrally guided framework for EEG denoising.

Electroencephalography (EEG) is widely used in brain-computer interfaces (BCIs), but its microvolt-level signals are easily contaminated by electromyo...

Reinventing the echocardiography workflow: from manual quantification to artificial intelligence-driven comprehensive interpretation.

Echocardiography remains the cornerstone of cardiovascular imaging. However, traditional workflows including manual acquisition, sequential measuremen...

Performance-Based Frailty Tools Capture Distinct Risk Phenotypes in Kidney Transplant Candidates: A Comparative Analysis of FRAIL and SPPB.

Frailty predicts adverse outcomes in kidney transplant candidates, but it remains unclear whether different frailty tools identify the same or distinc...

Navigating the use of artificial intelligence in the peer review process: Cautionary pearls from the editorial board.

Peer review remains a cornerstone of academic publishing, underpinning the integrity and credibility of the scientific literature. High-quality peer r...

AI Dependency and Brain Rot Among Nursing Students: A Mixed-Methods Study.

BACKGROUND: Artificial intelligence (AI) can be beneficial in tailoring learning experiences to each student's learning style, needs, and preferences....

[Paeoniflorin alleviates cancer-related fatigue during chemotherapy for breast cancer by targeting EZH2/CCNE1 to regulate cell cycle and inflammatory microenvironment].

OBJECTIVES: To explore the molecular mechanisms and key pharmacodynamic basis of Baishao for alleviating cancer-related fatigue (CRF) during chemother...

Gut microbiome signatures during acute infection are associated with long COVID.

BACKGROUND: Long COVID (LC) manifests in 10%-30% of non-hospitalized individuals post-SARS-CoV-2 infection, leading to significant morbidity. The pred...

Deep learning-enhanced detection of dental restorations and orthodontic appliances in panoramic radiographs using a clinically annotated dataset.

OBJECTIVE: Manual interpretation of dental panoramic radiographs is labor intensive and prone to diagnostic fatigue, particularly in high-volume setti...

Foundation Model Forecasting of Headache Days in People With Persisting Postconcussion Symptoms.

OBJECTIVES: We aimed to forecast headache in individuals with persisting postconcussion symptoms using foundation machine learning (ML) models and mul...

Protocol for a pilot effectiveness and feasibility randomized controlled trial of an advanced telerehabilitation system for people with multiple sclerosis (PLATINUMS project).

BACKGROUND: Multiple Sclerosis (MS) causes many different symptoms, with some of the most dominant being impaired balance and walking performance. Exe...

Interpretable Topic Modeling of Spontaneous Speech in Depression Using Large Language Models: Multilingual Four-Cohort Study.

BACKGROUND: Depression is underdiagnosed worldwide, and clinicians rely on interpreting patients' subjective speech. Qualitative analysis of patient l...

Missed Pulmonary Nodules on CT: Determinants and Implications for Radiologic Practice.

Undetected or unreported lung nodules are a significant cause of failure-to-diagnose errors in radiology. The available literature indicates consisten...

Automated Vocal Fatigue Screening in Professional Voice Users: Development and Occupational Validation of an Automated Assessment System.

INTRODUCTION: Professional voice users face an elevated risk of vocal injury from sustained occupational voice use, yet scalable tools for workplace s...

Modernizing Growth Promotion Testing using APAS® Independence: Poster Presented at PDA Week 2026.

Agar-based methods remain a cornerstone of environmental monitoring in cleanroom environments due to their unmatched ability to detect viable microorg...