Emergency Medicine

Patient Triage and Guidance in Emergency Departments Using Large Language Models: Multimetric Study.

BACKGROUND: Emergency departments (EDs) face significant challenges due to overcrowding, prolonged w...

Efficacy of laryngeal mask epinephrine in neonatal resuscitation; an ovine study.

BACKGROUND: The efficacy of Laryngeal Mask Airway (LMA) epinephrine during neonatal resuscitation ha...

Chlorogenic acid alleviates deoxynivalenol-induced damage in porcine trophectoderm cells by regulating the PI3K/AKT signaling pathway†.

The proliferation and migration of porcine trophectoderm (pTr) cells are crucial processes during th...

Evaluating large language model workflows in clinical decision support for triage and referral and diagnosis.

Accurate medical decision-making is critical for both patients and clinicians. Patients often strugg...

Deep learning approach based on a patch residual for pediatric supracondylar subtle fracture detection.

Supracondylar humerus fractures in children are among the most common elbow fractures in pediatrics....

A correlational study of plasma galectin-3 as a potential predictive marker of postoperative delirium in patients with acute aortic dissection.

This study aimed to demonstrate whether plasma galectin-3 could predict the development of postopera...

Automated Emergent Large Vessel Occlusion Detection Using Viz.ai Software and Its Impact on Stroke Workflow Metrics and Patient Outcomes in Stroke Centers: A Systematic Review and Meta-analysis.

The implementation of artificial intelligence (AI), particularly Viz.ai software in stroke care, has...

Advances in Toughening Modification Methods for Epoxy Resins: A Comprehensive Review.

This work provides a comprehensive review of the recent advancements in the toughening modification ...

Gradient-driven deep penetration of self-electrophoretic nanoparticles in acidic tumor microenvironments for enhanced antitumor therapy.

Difficulty of nanomedicines to effectively penetrate the tumor core and achieve effective killing of...

Decision Trees for Managing Impaired Physical Mobility in Multiple Trauma Patients.

AIM: To develop and validate decision trees using conditional probabilities to identify the predicto...

Automated Detection of Black Hole Sign for Intracerebral Hemorrhage Patients Using Self-Supervised Learning.

BACKGROUND AND PURPOSE: Intracerebral Hemorrhage (ICH) is a devastating form of stroke. Hematoma exp...

Revisiting the approaches to DNA damage detection in genetic toxicology: insights and regulatory implications.

Genetic toxicology is crucial for evaluating the potential risks of chemicals and drugs to human hea...

CLEAR-Shock: Contrastive LEARning for Shock.

Shock is a life-threatening condition characterized by generalized circulatory failure, which can ha...

Enhancing Cardiopulmonary Resuscitation Quality Using a Smartwatch: Neural Network Approach for Algorithm Development and Validation.

BACKGROUND: Sudden cardiac arrest is a major cause of mortality, necessitating immediate and high-qu...

Inclusive intent, unequal output: GPT-4o image generation is not yet the answer to the visual resource gap in resuscitation education.

AI on the Front Lines: A Primer for the Military Health Professional.

BACKGROUND: Artificial Intelligence (AI) has become a key component of the U.S. Army Medical Moderni...

Artificial intelligence in resuscitation: a scoping review.

BACKGROUND: Artificial intelligence (AI) is increasingly applied in medicine, with growing interest ...

Integrating SHAP analysis with machine learning to predict postpartum hemorrhage in vaginal births.

OBJECTIVE: This study aimed to develop a machine learning (ML) model integrated with SHapley Additiv...

Prediction of High-Dose Methotrexate Blood Concentration in Osteosarcoma Patients Using Machine Learning.

INTRODUCTION: High-dose methotrexate is a typical chemotherapy that is widely used in the treatment ...

External validation of an RSNA 2023 Abdominal Trauma AI Challenge high performing machine learning model in the detection and grading of splenic injuries on CT.

PURPOSE: This study aims to validate the performance of an award-winning machine learning (ML) model...

Dual-Site Targeting by Peptide Inhibitors of the N-Terminal Domain of Hsp90: Mechanism and Design.

Heat shock protein 90 (Hsp90) is a pivotal molecular chaperone crucial in the maturation of client p...