Emergency Medicine

Exploring potential biomarkers of NETosis-Related genes in spinal cord injury through machine learning and multi-omics analysis.

Spinal cord injury (SCI) is a serious condition typically caused by mechanical trauma, often resulting in significant motor, sensory, and autonomic dysfunction. It places a heavy burden on individuals, families, and society; however, effective treatment options are still limited because of the complex pathophysiology behind primary and secondary injury mechanisms. Neutrophil extracellular traps (N...

Acetyl tributyl citrate as a new risk factor for osteoporosis: An integrated study from multi-level toxicological assessment and experimental validation.

This study aimed to elucidate the toxicological effects and underlying mechanisms of the plasticizer acetyl tributyl citrate (ATBC) on osteoporosis (OP) development by integrating computational biology with experimental validation. Potential targets of ATBC and OP-related genes were retrieved from public databases, identifying 113 common targets. Robust machine learning modeling pinpointed five co...

AI in Patient Care: Evaluating Large Language Model Performance Against Evidence-Based Guidelines for Pulmonary Embolism.

OBJECTIVE: Artificial intelligence (AI)-driven large language models (LLMs) are increasingly used in patient education; however, their ability to inte...

Tunable Plug-and-Play Meta-Nanogenerator Materials for Multi-Range Force Measurements.

Accurate assessments of mechanical forces are crucial for the design, operation and maintenance of long-lasting engineering systems. Conventional forc...

Lifespan Pancreas Morphology for Control Versus Type 2 Diabetes Using AI on Largescale Clinical Imaging.

Understanding how pancreas size and shape change with normal aging is critical for establishing a baseline to detect deviations in type 2 diabetes and...

Goals of Care Transitions following Postoperative Undertriage.

BACKGROUND: This study tests the hypothesis that postoperative undertriage of high-acuity patients to hospital floor units is associated with new post...

Deep_TPPred: Improved prediction of protein toxicity using feature fusion and hybrid neural network approach.

Protein toxicity prediction is crucial for drug discovery, safety assessment, and toxicological research. This study introduces $\mathrm{Deep\_{T}PPre...

Mechanistic study of deoxycholic acid in colorectal cancer based on network toxicology and machine learning approaches.

Early management of acute heart failure.

PURPOSE OF REVIEW: Acute heart failure (AHF) is a frequent, high-risk emergency department presentation in which early diagnostic and therapeutic deci...

Empowering front-line physicians with AI: Evaluating large language models in everyday ENT care.

PURPOSE: Artificial intelligence systems known as large language models are being evaluated for clinical decision support, yet their role in emergency...

Machine learning for triage of strokes with large vessel occlusion using photoplethysmography biomarkers.

Objective.Large vessel occlusion (LVO) stroke presents a major challenge in clinical practice due to the potential for poor outcomes with delayed trea...

Artificial intelligence for early diagnosis in emergency department.

In recent years, artificial intelligence (AI) has become an increasingly prominent player in emergency medicine, offering innovative tools to enhance ...

Inter-rater reliability of a classification systems for distal radius fractures using radiology text and x-rays: what really matters?

PURPOSE: This study used different metrics to assess the reliability of radiology text and images in Distal Radial Fractures (DRF) classifications usi...

Use of artificial intelligence for veterinary triage: a promising tool but with limitations in the emergency setting.

Specification-compliant fracture parameter extraction and rock mass classification on tunnel faces with improved YOLOv8-seg.

Accurate identification of rock mass fractures is essential for evaluating tunnel stability and ensuring construction safety. However, existing deep l...

Rebuilding the pelvis: advances in robotic-assisted management of complex pelvic fractures.

Complex pelvic fractures are infamously challenging to fix surgically because of their fine anatomy and proximity to vital neurovascular structures. T...

Activating the SDF-1/CXCR4 axis: Notoginsenoside R1-Functionalized zinc scaffolds accelerate fracture healing and angiogenesis in diabetic osteoporosis.

Effective treatment of diabetic osteoporotic fractures (DOF) requires biomaterials capable of promoting vascularized bone regeneration. A biodegradabl...

Integrated machine learning and bioinformatic analyses constructed a sulfur metabolism-related breast cancer risk model and identified heat-shock protein A9 as a potential therapeutic target for human breast cancer.

G.AI.A: An Integrated Machine-Learning Platform for Predicting Bioaccumulation and Ecotoxicity of Pharmaceuticals.

Pharmaceutical pollution in aquatic environments poses a significant ecological threat due to the accumulation of bioactive compounds from human and v...

Treatment Recommendations for Clinical Deterioration on the Wards: Development and Validation of Machine Learning Models.

BACKGROUND: Clinical deterioration in general ward patients is associated with increased morbidity and mortality. Early and appropriate treatments can...