Emergency Medicine

Association between the stress hyperglycemia ratio and all-cause mortality in patients with hemorrhagic stroke: a retrospective analysis based on MIMIC-IV database.

BACKGROUND: Research on the associations between the stress hyperglycemia ratio (SHR) and adverse outcomes in patients with hemorrhagic stroke is limited. Therefore, we aimed to investigate the relationship between the SHR and all-cause mortality in patients with hemorrhagic stroke.

Gasdermin D drives the systemic storm and mortality after trauma with hemorrhage to a greater degree in biological females than males.

Severe injury accompanied by hemorrhagic shock triggers an early release of cell constituents into the circulation, referred to as the systemic storm. The systemic storm drives the systemic inflammatory response and is associated with increased mortality. The role of programmed cell death (PCD) in the systemic storm was investigated in mice that underwent hemorrhagic shock with tissue trauma (HS/T...

Digital Technology Prediction of Anger, Aggression, and Violence: Recent Innovations and Methodological Considerations.

Data derived from smartphone and wearable devices, combined with artificial intelligence/machine learning, have great potential to predict, detect, an...

Artificial Intelligence in Value-Based Health Care.

Artificial intelligence (AI) presents new opportunities to advance value-based healthcare in orthopedic surgery through 3 potential mechanisms: agency...

"Perfusion Assessment of Healthy and Injured Hands Using Video-Based Deep Learning Models".

BACKGROUND: Assessing in-field hand trauma is challenging, and inaccurate perfusion assessment can substantially impact the patient and health system....

Comprehensive analysis of the association between volatile organic compound pollutants and chronic kidney disease in hypertensive populations: insights from multi-omics approaches and identification of potential therapeutic targets.

Environmental pollutants, including volatile organic compounds (VOCs), are increasingly linked to chronic kidney disease (CKD), yet this association i...

Application of mixed reality in prehospital emergency nursing education: A scoping review.

AIM: This paper provides a scoping review of the literature on prehospital emergency mixed reality (MR) nursing education and explores the impact of M...

Use video comprehension technology to diagnose ultrasound pneumothorax like a doctor would.

INTRODUCTION: Emergency rescue scenes and pre-hospital emergency stages commonly encounter trauma victims. Life-saving measures must be taken at the s...

Recent progress in surgical treatment of cervical spine myelopathy - A narrative review.

Surgical techniques and technology for cervical spondylotic myelopathy (CSM) have demonstrated remarkable advancement during the past decade. This nar...

Development and application of cell-based bioassay in aquatic toxicity assessment.

Cell-based bioassays provide a dynamic and physiologically relevant platform for investigating cellular responses to chemical, biological, and environ...

Development and validation of a predictive model for refracture risk in elderly individuals with osteoporotic vertebral compression fracture: a retrospective study in China.

BACKGROUND: The rising incidence of refractures and associated adverse outcomes among individuals with osteoporotic vertebral compression fractures ha...

Robust Self-Healing Polyurethane-Based Solid-State Ion-Conductive Elastomers with Exceptional Strength and Ionic Conductivity for Multifunctional Strain Sensors and Triboelectric Nanogenerators.

Flexible ionic conductors hold potential for wearable sensors and energy harvesting. However, most gel-based conductors suffer from solvent evaporatio...

Burn disasters in North Carolina: An Analysis of Four Major Incidents with a Look to the Future.

This paper examines the medical response to four significant burn disasters in the North Carolina: the Pope Air Force Base disaster, the ConAgra/Garne...

Predicting Surgical Versus Nonsurgical Management of Acute Isolated Distal Radius Fractures in Patients Under Age 60 Using a Convolutional Neural Network.

PURPOSE: Distal radius fractures (DRFs) represent up to 20% of the fractures in the emergency department. Delays to surgery of more than 14 days are a...

From cellular perturbation to probabilistic risk assessments.

Chemical risk assessment is evolving from traditional deterministic approaches to embrace probabilistic methodologies, where risk of hazard manifestat...

Advances in brain-targeted delivery strategies and natural product-mediated enhancement of blood-brain barrier permeability.

The blood-brain barrier (BBB) represents a formidable challenge in the treatment of neurological disorders, as it restricts the passage of most therap...

Rate and Patient Specific Risk Factors for Periprosthetic Acetabular Fractures during Primary Total Hip Arthroplasty using a Pressfit Cup.

BACKGROUND: Periprosthetic acetabular fractures following primary total hip arthroplasty (THA) using a cementless acetabular component range from occu...

Automated Real-time Assessment of Intracranial Hemorrhage Detection AI Using an Ensembled Monitoring Model (EMM).

Artificial intelligence (AI) tools for radiology are commonly unmonitored once deployed. The lack of real-time case-by-case assessments of AI predicti...

Prediction of reproductive and developmental toxicity using an attention and gate augmented graph convolutional network.

Due to the diverse molecular structures of chemical compounds and their intricate biological pathways of toxicity, predicting their reproductive and d...

AI-Based Predictive Models for Cardiogenic Shock in STEMI: Real-World Data for Early Risk Assessment and Prognostic Insights.

Cardiogenic shock (CS) is a life-threatening complication of ST-elevation myocardial infarction (STEMI) and remains the leading cause of in-hospital ...