Emergency Medicine

Decoding Kounis syndrome with artificial intelligence: from diagnosis to precision medicine.

Kounis syndrome-acute coronary events triggered by allergic or hypersensitivity reactions-remains underrecognized across emergency and cardiology settings. Its heterogeneous presentation and overlapping mechanisms (vasospasm, plaque erosion/rupture, stent thrombosis) challenge timely diagnosis and tailored therapy.This review synthesizes contemporary evidence on pathophysiology, clinical spectrum,...

Investigating the toxicological impacts of thiabendazole exposure on uterine corpus endometrial carcinoma utilizing network toxicology, machine learning, and molecular docking.

Uterine corpus endometrial carcinomas (UCEC) are common cancers of the female reproductive system linked to environmental chemicals. Thiabendazole (TBZ), a fungicide used on produce, has been associated with cancer and liver damage, but its role in endometrial cancer is unclear. This study employs network toxicology, machine learning, and bioinformatics to explore TBZ's potential impact on endomet...

A Structure-Based Platform for Predicting Chemical-Induced Parkinson's Disease.

Current methods for determining the neurotoxic potential of (agro)chemicals are not comprehensive enough, as is suggested by the increased incidence o...

Editorial: future of ureteral stents: what do we need? a pearls opinion.

Ureteral stents, introduced in 1960s, are essential for managing upper urinary tract pathologies, maintaining ureteral patency in conditions like obst...

Development and Application of Organoids for Toxicology Studies.

Organoids are 3D in vitro models derived from human stem cells, capable of simulating the structure, function, and intercellular interactions of human...

Location based bursty event detection and information dissemination using influencers in Twitter.

In the intelligence information sharing era, social media paved a way to share information around the world without any moratorium, which helps more i...

Comparing manual and automated methods for extracting perihematomal features in predicting hemorrhage expansion in deep intracerebral hemorrhage.

Innovative approaches to mitigating persistent toxic substances and their impacts on soil health and human well-being.

Persistent toxic substances (PTS), including heavy metals, persistent organic pollutants (POPs), and persistent, mobile, and toxic/very persistent and...

Hybrid ML-driven simulation exploring the fate of environmentally relevant nanoplastics in complex aqueous matrices: Mechanistic insight into colloidal behavior via explainable AI.

Nanoplastics (NPs) are globally recognized as pervasive emerging contaminants with demonstrated toxicological risks, yet predicting their environmenta...

Serpinh1 promotes fracture healing by enhancing osteogenesis via activation of the Wnt/β-catenin signaling pathway.

BACKGROUND: The process of fracture healing encompasses tightly regulated cellular and molecular interactions. However, the precise regulatory mechani...

Are machine learning models superior to logistic regression models to predict 30-day mortality post-hip fracture surgery?

Hip fractures represent a significant global health burden, with high mortality rates. Accurate prediction of 30-d postoperative mortality is instrume...

Predicting intracranial aneurysm rupture risk and intervention outcomes using denoising-enhanced CT Angiography.

BACKGROUND AND PURPOSE: To develop a comprehensive multi-modal framework for assessing the rupture risk of intracranial aneurysms and predicting inter...

Evaluation of an AI-Driven Risk Stratification System for Clinical Deterioration in Geriatric Hip Fracture Patients.

OBJECTIVES: To determine whether an artificial-intelligence-driven Clinical Deterioration Index (CDI) could identify geriatric hip-fracture patients a...

Machine Learning-Based Risk Stratification for Symptomatic Intracranial Hemorrhage and 3-month Prognosis Following Intravenous Thrombolysis.

INTRODUCTION: Intravenous thrombolysis (IVT) with tissue-type plasminogen activator (tPA) is a cornerstone of acute ischemic stroke treatment, yet its...

Exploring the mechanism of Dieda Qili Tablet on fracture healing based on network pharmacology combined with machine learning models.

External validation of ECG artificial intelligence for emergency and cardiac assessment across a large-scale U.S. healthcare system.

An ECG-based artificial intelligence (AI) model was previously developed to generate ten digital biomarkers for emergency and cardiac assessment and i...

A Novel Triose Phosphate Isomerase Inhibitor With Dual Trypanosomicidal Activity was Identified Using Artificial Intelligence-Based Virtual Screening.

Chagas disease and leishmaniasis are neglected protozoan diseases recognized by the World Health Organization as major public health problems. These d...

Evaluation and enhancement of suspected opioid overdose definitions in emergency medical services data using machine learning with natural language processing.

BACKGROUND: Fatal and non-fatal drug overdoses have evolved into a critical public health crisis, with over a 50% increase in the rate of fatal drug o...

The impact of childhood trauma on brain structural connectivity in adolescent major depressive disorder: A graph-based analysis.

BACKGROUND: Childhood trauma (CT) significantly increases vulnerability to adolescent major depressive disorder (MDD), yet the underlying neurobiologi...

Improving efficiency and workflows in the nonoperating room anesthesia setting.

PURPOSE OF REVIEW: Nonoperating room anesthesia (NORA) services are rapidly expanding and now represent a substantial proportion of anesthetic care. E...