Emergency Medicine

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 the early stages of embryo implantation in sows. The effects of deoxynivalenol (DON) and chlorogenic acid (CGA), a plant-derived compound, on pTr cells are currently unclear. In this study, pTr cells were treated with DON at different times (24, 48, and 72 hours) and different concentrations (0.5, 1, ...

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 struggle to interpret their symptoms, determine their severity, and select the right specialist. Simultaneously, clinicians face challenges in integrating complex patient data to make timely, accurate diagnoses. Recent advances in large language models (LLMs) offer the potential to bridge this gap by supp...

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. However, their diagnosis can be particularly chal...

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 postoperative delirium (POD) in patients with acute aortic ...

[The study of implementation of digital technologies on sphere of labor protection and its impact on personnel of enterprises of marine industry].

The innovative technologies are becoming widespread in all spheres of human life, including labor protection. The AI, modern systems of monitoring and...

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 emerged as a promising tool to enhance the detect...

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 methods for epoxy resins. The study explores a var...

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 tumor stem cells is an important factor leading t...

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

AIM: To develop and validate decision trees using conditional probabilities to identify the predictors of mortality and morbidity deterioration in tra...

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 expansion (HE), growth of the hematoma on interval sc...

Impact of Vitamin D Deficiency on Short- and Long-Term Mortality in Patients Receiving Hip Fracture Surgery Under General Anesthesia: A Matched Cohort Study.

BACKGROUND: Although vitamin D deficiency (VDD) is common in patients who have hip fractures, the relationship between VDD and mortality risk remains ...

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 health and the environment. The emergence of high-thr...

PMMNet: A Dual Branch Fusion Network of Point Cloud and Multi-View for Intracranial Aneurysm Classification and Segmentation.

Intracranial aneurysm (IA) is a vascular disease of the brain arteries caused by pathological vascular dilation, which can result in subarachnoid hemo...

CLEAR-Shock: Contrastive LEARning for Shock.

Shock is a life-threatening condition characterized by generalized circulatory failure, which can have devastating consequences if not promptly treate...

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-quality cardiopulmonary resuscitation (CPR) for impr...

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 Modernization Strategy, which seeks to enhance military h...

Artificial intelligence in resuscitation: a scoping review.

BACKGROUND: Artificial intelligence (AI) is increasingly applied in medicine, with growing interest in its potential to improve outcomes in cardiac ar...

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 Additive exPlanations (SHAP) analysis to predict postpart...

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 of osteosarcoma. However, the unique dose-response...