Emergency Medicine

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, involving multiple victims and/or offenders, is even less common. The most famous case of double parricide in recent history is that of the Menendez brothers, who were convicted of the 1989 murders of their parents. PURPOSE: This narrative review e...

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 centers, including prediction of death after discharge among survivors of firearm injury. METHODS: We used a retrospective cohort of injured patients 0 to 17 years admitted to 982 trauma centers participating in the National Trauma Data Bank from 1/1/2014 ...

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...

Entropy-weighted fuzzy integration of sparse gaussian graphical models in multiple organ metabolomics.

Inferring conditional dependency structures from high-dimensional data with small sample sizes remains a fundamental challenge in systems biology, par...

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...

Machine Learning-Based Quantitative Structure Activity Relationship Modeling of Repeated Dose Toxicity: A Data-Driven Approach Following Organisation for Economic Co-operation and Development Test Guidelines 407, 408, and 422 Supported by Experimental Validation.

In recent years, the rapid increase in the production and environmental release of synthetic organic chemicals has raised serious concerns about their...

Intraventricular hemorrhage in preterm infants: A systematic review of risk- and outcome-prediction models.

Intraventricular hemorrhage (IVH) is a major complication of prematurity and one of the top causes of mortality and neurodevelopmental impairment. We ...

Convolutional neural networks detected changes in facial expressions of mice that had conditioned fear stress.

Animal models are essential for studying aversive states such as fear and pain. Facial expressions may provide non-invasive readouts of aversive state...

A cost-sensitive multiclass machine learning framework for postoperative neurosurgical triage (Neuro-TACTIC).

Postoperative placement of patients into a regular ward, an intermediate-care unit (IMC), or an intensive care unit (ICU) is critical for balancing pa...

Comparative evaluation of multimodal large language models for diagnostic accuracy in pediatric electrocardiography: a prospective comparative diagnostic accuracy study.

UNLABELLED: We evaluated three multimodal LLMs, ChatGPT (GPT-5.2), Gemini 3, and Microsoft Copilot, in pediatric ECG interpretation, focusing on clini...

Reimagining Brain Drug Delivery: Mechanistic and Translational Advances in Carbon Nanotube Nanomedicine.

Neurological and neurodegenerative disorders (NDDs) present ongoing therapeutic challenges attributed to the structural complexity of the central nerv...

PNET-PRISM: a multicenter-validated radiomics nomogram for noninvasive grading of pancreatic neuroendocrine tumors.

BACKGROUND: Accurate preoperative grading of pancreatic neuroendocrine tumors (PNETs) is essential for optimal treatment selection, yet endoscopic ult...