Emergency Medicine

Network toxicology and machine learning revealed the association between non-alcoholic fatty liver disease induced by polystyrene nanoplastics.

This study systematically evaluated the hepatotoxic potential of common microplastic monomers using ADMETlab 3.0, identifying styrene (PubChem ID: 7501) as exhibiting significant hepatic toxicity. Comprehensive analysis of the CTD (Comparative Toxicogenomics Database) revealed a strong association between styrene exposure and NAFLD (Non-alcoholic fatty liver disease). We integrated target predicti...

Early prediction of renal replacement therapy within 24 hours after septic shock recognition in the emergency department using machine learning: a retrospective analysis of a prospectively collected multicenter registry.

Accelerated Brain Aging in Young Women with Posttraumatic Stress Disorder.

Posttraumatic stress disorder (PTSD) has been associated with structural brain alterations, suggesting accelerated brain aging. Evidence from peripher...

Comparison of GPT-4 omni and physicians for accurate evaluation of traumatic extremity x-rays: A feasibility study.

GPT-4 omni (GPT-4o) is the latest version of Chat-GPT, developed by OpenAI, which provides image interpretation capabilities. In trauma patients, x-ra...

Kenyan Neonatal Mortality Risk Predictor: Protocol for a User-Centered Design Evaluation.

BACKGROUND: Neonatal mortality remains a major public health challenge in low- and middle-income countries (LMICs), particularly in sub-Saharan Africa...

Artificial Intelligence-Assisted Pediatric Trauma Triage: Promising Innovation or Premature Implementation?

Impact of an artificial intelligence-driven triage system on workflow and transfer efficiency: stratified analysis of 4548 admissions to four thrombectomy hubs receiving transfers from sixty spokes.

BACKGROUND: We aimed to evaluate the impact of implementing an artificial intelligence (AI)-enabled acute ischaemic stroke triage system on workflow e...

Deciphering pharmaceutical resistance in sulfur-driven autotrophic denitrification: an integrated multi-omics artificial intelligence-driven structural biology approach.

Sulfur-driven autotrophic denitrification (SdAD) is a promising low-carbon technology for nitrogen removal; however, its stability and adaptive mechan...

The Menendez Brothers and Shifting Attitudes Over 35 Years.

BACKGROUND: Parricide is an exceptionally rare phenomenon, constituting approximately 2% to 3% of all homicides in the United States. Double parricide...

Pediatric Firearm Risk Prediction in Trauma Centers and After Discharge: A Machine Learning Analysis.

OBJECTIVE: We used machine learning (ML) to develop firearm risk prediction models for injured children and adolescents admitted to U.S. trauma center...

Multitask Pretraining Framework for Improving Predictivity of Machine Learning Chemical Bioactivity Models for Low-Data Endpoints.

Computational models are crucial for rapid hazard screening of novel chemicals when time and resources are not available for laboratory assessment. Th...

Immune gene MMP9 as a potential key mediator in TCDD exposure-associated atherosclerosis: An integrated study based on network toxicology and experimental validation.

BACKGROUND: 2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD) is a highly toxic, recalcitrant persistent organic pollutant with ubiquitous environmental dist...

Super-Resolution enhanced deep learning for efficient and accurate urban flood simulation at the street scale.

Efficient and high-precision flood simulation is a critical technology for supporting urban flood risk management and emergency response. To address t...

Resuscitation 2025 congress: launch of the resuscitation guidelines, scientific advances, education, equity, and innovation across the chain of survival.

The European Resuscitation Council (ERC) Congress - Resuscitation 2025 was held in Rotterdam as a fully in-person international meeting and served as ...

Implementation and Evaluation of Virtual Care in Canadian Health Care Systems: A Scoping Review.

OBJECTIVE: This scoping review examined available evidence in implementation and evaluation of virtual care in Canada. Virtual care saw recent uptake ...

Leveraging Electronic Health Record Data and Artificial Intelligence to Develop a Crosswalk Tool for Personalized Clinical Experience Profiles of Emergency Medicine Residents.

PROBLEM: Graduate medical education requires learners to acquire broad clinical exposures to meet core competencies for unsupervised practice, but var...

AI-Enhanced Electrocardiogram for Detection of Occlusive Myocardial Infarction in High-Risk Non-ST-Segment Elevation Acute Coronary Syndrome.

BACKGROUND: Whether an artificial intelligence-enhanced electrocardiogram (AI-ECG) improves detection of occlusive myocardial infarction (OMI) in non-...

Nonlinear dynamical analysis of chaos, fractal complexity, and entropy in EEG signals during music therapy in ICU burn patients.

Music therapy (MT) is known to influence brain dynamics; however, its effects on nonlinear electroencephalogram (EEG) characteristics in clinical sett...

A characterisation of one year of enhanced enquiry follow-up from a United Kingdom poison centre.

INTRODUCTION: United Kingdom poison centres handle 40,000 telephone enquiries annually, and of these, follow-up is required for enquiries with a 'seve...

Machine learning-based prediction of out-of-hospital births in prehospital emergency care.

BACKGROUND: Unplanned out-of-hospital births constitute rare but high-risk obstetric emergencies managed by emergency medical services (EMS). Rapid as...