Emergency Medicine

TCEP Induces Liver Injury Through Suppression of the PI3K/AKT Axis: Integrated Evidence from Epidemiology, Network Toxicology, and In Vivo Validation.

Tris(2-chloroethyl) phosphate (TCEP) is a widely used chlorinated organophosphate flame retardant, but its role in liver injury remains unclear. In this study, we integrated survey-weighted NHANES analysis, multi-source bioinformatics, and multi-dose in vivo validation to evaluate the association between TCEP exposure and liver injury. Higher TCEP exposure was associated with increased ALT, AST, G...

AI in clinical diagnostics in dermatology: applications, validation, and real-world use cases.

Artificial intelligence (AI) has moved from proof-of-concept studies in dermatology to selective, real-world clinical use, particularly in image-based triage, lesion assessment, and workflow augmentation. Dermatology is uniquely suited to AI because much of diagnostic reasoning depends on visual information (clinical photos, dermoscopy, reflectance confocal microscopy, optical coherence tomography...

Artificial Intelligence in skin disease therapeutics: from drug discovery to personalized treatment pathways.

Artificial intelligence (AI) comprises computational methods capable of tasks associated with human cognition, and includes specialized subfields such...

Artificial Intelligence in Disaster Triage: Enhancing Emergency Nursing Practice Through Decision Support.

Effective triage during mass casualty incidents is critical, requiring emergency nurses to make rapid decisions in high-stress, resource-limited envir...

Comparing the Efficacy Between ChatGPT 5, Grok 3, and Claude 4.5 Sonnet in Analyzing Orthopedic Trauma-Related Imaging.

OBJECTIVES: To evaluate and compare the ability of three popular open-source artificial intelligence platforms to diagnose common trauma-related fract...

Building centaur responders: is emergency management ready for artificial intelligence?

This article examines the preparedness of emergency management (EM) for addressing questions pertaining to artificial intelligence (AI), encompassing ...

From Triage to Intensive Care: A Qualitative Study of Nurses' Experiences with AI-Enabled Decision Support.

BACKGROUND: Artificial intelligence (AI)-enabled decision support systems are increasingly used in emergency departments and intensive care units to s...

Protocol-Based Management of Medication Confounders in Brain Death Determination: A Multi-Institutional Review.

BACKGROUND: Determination of death by neurologic criteria (DNC) relies on clinical examination, provided no confounding conditions affect reliability....

A Fully Automated Pipeline for Vertebral Structural Assessment From Medical Images. Application Under Metastatic Conditions.

Spinal bone metastases often lead to vertebral fractures and other skeletal events that severely affect patients' quality of life. Predicting structur...

Artificial Intelligence in Physical Therapy: A Narrative Review of Artificial Intelligence Applications Across the Patient and Client Management Model.

BACKGROUND AND AIMS: Artificial intelligence (AI) is rapidly transforming healthcare and has increasing relevance for physical therapy practice. This ...

Improving Emergency Care for Children With Medical Complexity: A Pragmatic Review.

Children with medical complexity (CMC) are defined by the presence of significant chronic health problems that affect multiple organ systems, often re...

High Adoption, Higher Expectations: A Cross-Sectional Survey of Radiologist Engagement with Artificial Intelligence in the United Arab Emirates.

Artificial intelligence (AI) is poised to transform diagnostic radiology, yet data on its adoption and the perspectives of radiologists in the Middle ...

Machine learning-based prediction of ICU admission and mortality in Crimean-Congo hemorrhagic fever by using wide-range targeted metabolomics.

PURPOSE: This study aimed to evaluate the potential of amino-acid profiles to predict disease progression in patients with Crimean-Congo Hemorrhagic F...

Unravelling emergency department triage in everyday practice: An ethnographic study of underlying mechanisms across three Danish emergency departments.

BACKGROUND: Emergency department triage is commonly conceptualised as a standardised classification of patient urgency based on vital signs and presen...

Can artificial intelligence applications be utilised in the management of dental trauma? A comparison of ChatGPT, Gemini, and DeepSeek.

BACKGROUND: This study aimed to evaluate the accuracy and reliability of the responses provided by the artificial intelligence applications (chatbots)...

Comment on "an interpretable machine learning tool for predicting perioperative cardiac events in patients scheduled for hip fracture surgery: insights from the multicenter LUSHIP study".

Analysis of Accuracy and Response Stability of Artificial Intelligence Models in Answering Diagnostic, Therapeutic and Prognostic Questions on Dental Trauma.

This study comparatively evaluated accuracy and response stability of artificial intelligence (AI)-models in answering diagnostic, therapeutic and pro...

Deep Learning Network-Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration.

Pathological microenvironments linked to aging, trauma, malignancies, and metabolic disorders significantly hinder bone fractures and frequently resul...

Generative Artificial Intelligence and 3D Printing in Craniomaxillofacial Deformities: A Narrative Review of Emerging Synergies.

Craniomaxillofacial deformities are primarily caused by congenital anomalies, trauma, or postoperative defects following tumor resection, involving bo...

Quality Evaluation of Large Language Model-Assisted Generation of Initial Senior Physician Ward Round Records for Patients With Acute Poisoning: Cross-Sectional Study.

BACKGROUND: Large language models (LLMs) have shown potential in medical text generation. Senior physician ward round records are critical documents w...