Emergency Medicine

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 ill ICU patients. Previous studies have primarily focused on cardiovascular disorders include myocardial infarction and coronary artery disease, but the connection between SHR and prognosis in severely ill individuals with cerebrovascular disorders, ...

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 telemedicine-enabled resource allocation. These tools promise greater efficiency and precision, yet raise substantial ethical concerns regarding transparency, accountability, and bias. This narrative review synthesizes literature from 2010 to 2025 on AI...

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...

Optimising ICU supply chains: Evidence-based strategies for efficiency, resilience and patient safety-a structured narrative review.

Inventory management in intensive care units (ICUs) plays a critical role in ensuring uninterrupted patient care, yet it remains an underprioritised c...

Objective dyspnea measurement in real time using a forehead wearable and artificial intelligence.

Dyspnea is a complex symptom measured using subjective patient-reported ratings. Continuous, automated dyspnea measurements are needed, especially in ...

AI-Based Opportunistic CT Risk Assessment Using TotalSegmentator in Osteoporotic Vertebral Fractures.

Osteoporotic vertebral fractures impair quality of life and increase both morbidity and mortality, yet they are largely preventable. Routine CT examin...

Automatic measurement of vertebral compression ratio on lumbar MR images fracture assessment based on MS-Res-AttU-Net model framework.

OBJECTIVES: To develop an MS-Res-AttU-Net-based deep learning framework for automatic measurement of vertebral compression ratio (VCR) on lumbar magne...

An agentic AI framework for integrated decision support and surgical planning in intracerebral hemorrhage.

BACKGROUND: Intracerebral hemorrhage (ICH) remains associated with high mortality and treatment variability. Current workflows rely on fragmented imag...

A review on chemometrics for detecting emerging pollutants in the environment and assessing their toxicological impact on humans and the environment.

Rapidly expanding industrial activities, along with rising human living standards, contribute to the emission of emerging pollutants (EPs) that have b...

Advancing emergency medicine across Asia: a roadmap for leadership, collaboration, and digital transformation.

Emergency medicine has evolved from an emerging discipline to a formally recognised specialty across much of Asia over the past four decades. Adoption...