Emergency Medicine

Melioidosis molecular diagnostics: An update.

Melioidosis, a fatal tropical disease, presents a wide array of clinical manifestations, including abscesses, pneumonia, septic shock, bacteraemia, osteomyelitis, septic arthritis, and skin infection. The Centers for Disease Control and Prevention (CDC) has classified (), a gram-negative bacterium found in soil, as a Tier 1 select agent. Referred to as the "great mimicker," this organism can infe...

NOTICE-ED: Nurse or Technician Insights Into Cognitive Evaluations in the Emergency Department.

BACKGROUND: Several strategies have been proposed to increase chronic cognitive impairment (CI) screening in the emergency department (ED). Our goal was to assess the feasibility and acceptability of implementing specific CI screening tools and strategies in the ED from an ED registered nurse and technician perspective.

Optimizing stroke detection with genetic algorithm-based feature selection in deep learning models.

Brain stroke is a leading cause of disability and mortality worldwide, necessitating the development of accurate and efficient diagnostic models. In t...

Evaluating Hangzhou's urgent source-specific regulatory policies for the 2024 New Year haze: A receptor model and machine learning approach.

China's PM2.5 levels have significantly declined over the past decade due to stringent air pollution controls. However, severe autumn and winter haze ...

Pediatric Maxillofacial Trauma: Machine Learning Based Predictive Modeling to Identify Trauma Patterns.

AIM: To analyze the characteristics of pediatric facial trauma and predict factors influencing them through machine learning algorithms.

Proof of concept of an Automated Battlefield Trauma System for large-scale combat operations.

BACKGROUND: Large-scale combat operations (LSCO) generate high casualty volumes, challenging battlefield trauma care and necessitating a synchronized ...

Visualizing nuclear pore complex plasticity with pan-expansion microscopy.

The exploration of cell-type and environmentally responsive nuclear pore complex (NPC) plasticity requires new, accessible tools. Using pan-expansion ...

Improving the Robustness of Deep Learning Models in Predicting Hematoma Expansion from Admission Head CT.

BACKGROUND AND PURPOSE: Robustness against input data perturbations is essential for deploying deep learning models in clinical practice. Adversarial ...

Clinical Utility of Pulmonary Function Testing in Assessing Longitudinal Outcomes of Deployed Veterans with Preserved Spirometry.

Deployment to the Southwest Asia Theater of Military Operations is associated with new-onset respiratory symptoms, yet commonly-used parameters on pul...

Microgel double-crosslinked hydrogel with excellent mechanical properties for flexible electronics.

Hydrogels are limited in practical applications due to insufficient mechanical properties. While microgels (MGs) and active MGs enhance hydrogel tough...

Echocardiography for short-term mechanical circulatory support: a trans-Atlantic practical guide.

Short-term mechanical circulatory support (stMCS) devices are increasingly utilized for haemodynamic stabilization in patients with cardiogenic shock....

A Mortality Risk Prediction Model for Septic Shock in Patients Aged ≥50: Role of Norepinephrine Index and Procalcitonin.

BACKGROUND: Septic shock is a high-mortality syndrome, particularly in patients aged 50 and older. Predicting mortality in this population is challeng...

Predicting opportunities for improvement in trauma care using machine learning: a retrospective registry-based study at a major trauma centre.

OBJECTIVE: To develop models to predict opportunities for improvement in trauma care and compare the performance of these models to the currently used...

UANV: UNet-based attention network for thoracolumbar vertebral compression fracture angle measurement.

Kyphosis is a prevalent spinal condition where the spine curves in the sagittal plane, resulting in spine deformities. Curvature estimation provides a...

Integrated network toxicology, machine learning and molecular docking reveal the mechanism of benzopyrene-induced periodontitis.

BACKGROUND: Environmental pollutants, particularly from air pollution and tobacco smoke, have emerged as significant risk factors. Benzopyrene (BaP), ...

Is it a pediatric orthopaedic urgency or not? Can ChatGPT answer this question?

BACKGROUND: Artificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT, is increasingly studied in healthcare. This study...

Clinical Management of Wasp Stings Using Large Language Models: Cross-Sectional Evaluation Study.

BACKGROUND: Wasp stings are a significant public health concern in many parts of the world, particularly in tropical and subtropical regions. The veno...

Multimodal deep learning for chemical toxicity prediction and management.

The accurate prediction of chemical toxicity is a crucial research focus in chemistry, biotechnology, and national defense. The development of compreh...

Uncovering nonlinear patterns in time-sensitive prehospital breathing emergencies: an exploratory machine learning study.

BACKGROUND: Timely prehospital care is crucial for patients presenting with high-risk time-sensitive (HRTS) conditions. However, the interplay between...

A Machine Learning Trauma Triage Model for Critical Care Transport.

IMPORTANCE: Under austere prehospital conditions, rapid classification of injured patients for intervention or transport is essential for providing li...