Emergency Medicine

Integrative network toxicology, multiomics, and machine learning elucidate zearalenone-induced developmental toxicity mechanisms in zebrafish (Danio rerio).

Zearalenone (ZEN) is a naturally occurring environmental contaminant that is produced by fungi. Developing animals are particularly sensitive to ZEN, while the mechanisms underlying ZEN-induced developmental toxicity remain incompletely understood. Understanding the developmental toxicity mechanisms of ZEN is crucial for safeguarding environmental and human health. Zebrafish serve as an excellent ...

Benzo(a)pyrene aggregating lung inflammation via inducing IL1R1 expression in asthma: Insights from network toxicology, single-cell transcriptomics, and Mendelian randomization.

OBJECTIVE: Exposure to benzo(a)pyrene (BaP) negatively affects lung inflammation in patients with asthma. However, there is a lack of systematic research on the key mechanisms of BaP toxicity in asthma. METHODS: In this study, BaP target genes were predicted using ChEMBL, SEA, and PharmMapper, and asthma-related genes were retrieved from GeneCards, OMIM, and TTD. A protein-protein interaction netw...

Prediction of cardiac arrest in patients with heart failure in Sweden: a registry study with development of a machine learning model.

OBJECTIVE: 30-day survival after cardiac arrest is low, 12.4% and 36% for out-of-hospital and in-hospital cardiac arrest, respectively. Heart failure ...

Prediction of all-cause mortality in older adults in Colombia: real-world evidence from a middle-income country.

Accurate mortality prediction in older adults is a critical component of precision public health and risk stratification in healthcare systems worldwi...

A conceptual agentic AI architecture for MASLD-associated significant fibrosis in primary care.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is highly prevalent yet often underdiagnosed or undertreated in primary care due to a...

Artificial Intelligence in emergency department triage: A scoping review.

BACKGROUND: Triage in emergency departments (ED) is a critical process for prioritizing care and ensuring clinical safety. However, current triage sys...

Evaluation of an AI-based segmentation model for mandibular fracture segmentation on CBCT using volumetric and 2D slice-based validation approaches.

OBJECTIVE: This study aimed to evaluate the diagnostic performance of an artificial intelligence (AI)-based segmentation model for mandibular fracture...

Correlation between SHR and 28-day all-cause mortality risk in patients with spontaneous intracerebral hemorrhage.

BACKGROUND: The stress hyperglycemia ratio (SHR) has recently been suggested as a dependable indication for predicting adverse outcomes in critically ...

Artificial Intelligence and Algorithmic Bias in Burn Care: A Literature Review of Ethical Challenges.

Artificial intelligence (AI) is increasingly integrated into burn care for triage, burn-depth assessment, prognostic scoring, pain management, and tel...

June 2026: Artificial Intelligence (AI) for Future Breast Cancer Prediction, AI for Fracture Detection, CEUS for O-RADS Ultrasound, and More.

The Emerging Roles of AI in Self-Directed Stress Management: Systematic Review.

BACKGROUND: Stress is widespread and carries substantial mental health, social, and economic burdens. Yet, access to clinician-led stress management r...

Enhancing Physician Resilience to Generative AI: Multilevel Framework for Shared Authority, Verification, and Skill Preservation.

As generative artificial intelligence (AI), particularly large language model-based tools, is increasingly integrated into diagnosis, triage, decision...

Oxalic acid-assisted, metal-free light-driven activation of sodium percarbonate on kaolinite for tetracycline degradation in water: Kinetic, mechanistic, and toxicological insights.

A UV-visible-light-driven hybrid advanced oxidation system based on oxalic acid-assisted (OA) activation of sodium percarbonate (SPC) using kaolinite ...

Longitudinal Biomarker Trajectories for EVD-Associated Infection Prediction: A Trajectory-Based Machine Learning Framework with Biological Onset Characterization.

BACKGROUND: EVD-associated infection occurs in 1-40% of patients with indwelling external ventricular drains. Assessing cerebrospinal fluid (CSF) para...

CT Quantification of Intraventricular Hemorrhage Volume in Poor-Grade Aneurysmal Subarachnoid Hemorrhage: Impact on Mortality and Long-Term Disability.

BACKGROUND: Aneurysmal subarachnoid hemorrhage (aSAH) is a life-threatening condition with high morbidity and mortality, particularly in poor-grade pa...

A Multi-Task Segmentation and Classification Network Based on Ultrasound Images for Predicting the Grading of Ascites in the Abdominal Cavity.

Abdominal trauma with bleeding is a leading cause of post-traumatic death, and detecting free fluid in the abdomen or hemoperitoneum can provide criti...

Accuracy of Key Sonographic Markers for Juxta-Articular Fractures: A Prospective Study Using Explainable Machine Learning.

OBJECTIVES: To systematically evaluate sonographic features of long bone juxta-articular fractures and identify key diagnostic predictors using machin...

Multi-omics investigation of per- and polyfluoroalkyl substances in lung adenocarcinoma: comprehensive network toxicology, machine learning and molecular docking experiments.

Growing concerns regarding per- and polyfluoroalkyl substances (PFAS) as pervasive environmental contaminants have prompted increasing scrutiny regard...

Toxicologic Pathology Forum*: Opportunities and Challenges in the Use of Artificial Intelligence in Nonclinical Toxicologic Histopathology Evaluations.

Concordance between an artificial intelligence self-triage programme and physical triage.

OBJECTIVES: We evaluated the concordance between the Dutch National Triage Standard (NTS) triage classification and the triage of an artificial intell...