Emergency Medicine

Harnessing predictive analytics to support high-risk learners in a one-year certification program in emergency medicine (CPEM) in Pakistan.

INTRODUCTION: Predictive analytics and Machine Learning (PAML) are gaining traction in health professions education (HPE). Their utilization includes, but is not limited to, guiding student enrollment, identifying at-risk learners, enhancing educational decisions, and allocating proper resources through data-driven insights. This study explored the use of PAML to identify at-risk learners in a one...

TP-Transformer: An Interpretable Model for Predicting the Transformation Pathways of Organic Pollutants in Chemical Oxidation Processes.

Chemical oxidation is pivotal in remediating organic pollutants in aquatic systems; however, it frequently yields transformation products (TPs) with potential toxicological profiles surpassing those of the parent pollutants. Comprehensive identification of these TPs is imperative for environmental risk assessment and optimization of oxidation methodologies. Traditional experimental approaches for ...

Correction: Machine learning-based survival models for predicting rehospitalization of older hip fracture patients: a retrospective cohort study.

Predicting 14-day readmission in middle-aged and elderly patients with pneumonia using emergency department data: a multicentre retrospective cohort study with a survival machine learning approach.

OBJECTIVES: Unplanned pneumonia readmissions increase patient morbidity, mortality and healthcare costs. Among pneumonia patients, the middle-aged and...

Evaluating large language models for drafting emergency department encounter summaries.

Large language models (LLMs) possess a range of capabilities which may be applied to the clinical domain, including text summarization. As ambient art...

Deep Learning Methodology for Quantification of Normal Pancreas Structures.

Histopathologic evaluation plays a crucial role in assessing morphological tissue alterations in disease models and toxicology studies. Identifying sm...

Melioidosis molecular diagnostics: An update.

Melioidosis, a fatal tropical disease, presents a wide array of clinical manifestations, including abscesses, pneumonia, septic shock, bacteraemia, os...

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 w...

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), ...