Emergency Medicine

Latest AI and machine learning research in emergency medicine for healthcare professionals.

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Showing 501-520 of 7,057 articles

Integrating machine learning and structural analysis to decipher benzo[a]pyrene-induced bladder cancer networks.

Benzo[a]pyrene (BaP), a polycyclic aromatic hydrocarbon from tobacco smoke, exhaust, and pollutants, is linked to bladder cancer (BLCA). We systematically analyzed GEO datasets to identify BaP-related differentially expressed genes (DEBRGs). By integrating network toxicology, machine learning, molecular docking, molecular dynamics, and single-cell transcriptomics, we identified 19 significant gene...

May 21 2026 42168757

Enhancing aviation safety: An 80-year data-driven model for classification of aviation incident and accident.

The aviation system is safety-critical by nature, and any occurrence of an incident or accident can lead to the loss of human life and significant operational disruptions. The International Civil Aviation Organization (ICAO) emphasizes that every flight must take off and land safely-a goal achieved over 126,000 times daily. Despite major advancements,mishaps and accidents continue to occur, unders...

May 21 2026 42166524
Current Documentation in the Delivery Room and Strategies for Improvement.

BACKGROUND: Current neonatal resuscitation program standards recommend the use of real-time documentation completed by a designated scribe. Accurate d...

May 20 2026 42212834
Diagnostic performance of artificial intelligence in fracture detection with ultrasound: A systematic review and meta-analysis.

BACKGROUND: Bone fractures are common in acute care, and point-of-care ultrasound (POCUS) is an emerging diagnostic tool that can be complementary to ...

May 20 2026 42163701
Mechanistic Insights into BDE-153-Induced Idiopathic Pulmonary Fibrosis through Network Toxicology, Machine Learning, and Cellular Validation.

Idiopathic pulmonary fibrosis (IPF) is a progressive interstitial lung disease with limited therapeutic options. Polybrominated diphenyl ethers (PBDEs...

May 20 2026 42167473
Mitigating Algorithmic Bias in AI-Powered Toxicology: Frameworks for Explainable and Equitable Predictions in Human Health and Environmental Safety.

The rapid integration of artificial intelligence (AI) and machine learning into predictive toxicology has transformed chemical hazard identification, ...

May 20 2026 42167618
Multi-dimensional analysis revealing the mechanism of T-2 toxin driving liver fibrosis: integration of network toxicology, machine learning, experimental verification, and molecular docking.

BACKGROUND: T-2 toxin is a highly toxic mycotoxin commonly present in food and the environment, with accumulating evidence supporting its hepatotoxic ...

May 20 2026 42167635
QSAR in the AI Era: Reflections for Advancing Chemical Safety Assessment.

Quantitative Structure-Activity Relationship (QSAR) models are increasingly discussed in the broader context of artificial intelligence (AI). Indeed, ...

May 20 2026 42159267
ToxiGuard: an AOP-guided mechanistically interpretable framework for multi-organ toxicity prediction.

Accurate prediction of organ-specific toxicity with mechanistic interpretability remains a central challenge in chemical safety assessment and transla...

May 20 2026 42159741
Postangiography Prediction of Renal Replacement Therapy in Acute Myocardial Infarction-Related Cardiogenic Shock: Least Absolute Shrinkage and Selection Operator Nomogram Development and Validation.

BACKGROUND: Acute kidney injury critically impacts outcomes in cardiogenic shock secondary to acute myocardial infarction (CS-AMI). Acute kidney injur...

May 20 2026 42160715
Development, Feasibility, Acceptability, and Usability of an Artificial Intelligence-Powered Chatbot (Suzy) to Support Patients in Substance Use Disorder Recovery: Multiphase Study.

BACKGROUND: Substance use disorder (SUD) remains a major public health crisis in the United States, with significant challenges in treatment access, r...

May 20 2026 42160748
Machine Learning-Based Prediction of NOECs for over 10,000 PFAS across Multiple Fish Species Enables Large-Scale Toxicological Analysis.

Per- and polyfluoroalkyl substances (PFASs), comprising over 10,000 persistent chemicals, are prevalent in aquatic ecosystems and threaten ecological ...

May 20 2026 42160769
Systematic review and meta-analysis of machine learning models predicting massive hemorrhage protocol in trauma.

Timely activation of massive hemorrhage protocols (MHP) is critical to prevent exsanguination and improve survival in trauma patients. Current clinica...

May 20 2026 42162022
National trends and comparative outcomes of insulin versus non-insulin therapy in acute ischemic stroke patients treated with mechanical thrombectomy: a retrospective cohort study using the national inpatient sample.

Background diabetes mellitus is prevalent among patients with acute ischemic stroke (AIS). The prognostic significance of long-term insulin treatment ...

May 20 2026 42156589
Polystyrene Microplastics Drive Chondrotoxicity in Osteoarthritis through Inducing ER Stress and Apoptosis via NFKB1 Activation.

Polystyrene microplastics (PS-MPs), recognized as widespread environmental contaminants, have been identified within human articular tissues. However,...

May 19 2026 42162659
Human-Artificial Intelligence Collaborative Decision-Making in Emergencies: Relative Advantage Theory.

ObjectiveThis study proposes Relative Advantage Theory to explain decision-making mechanisms in emergencies where humans collaborate with AI systems, ...

May 19 2026 42152738
Advanced Data Analytics and Machine Learning for Geospatial Interpolation, Anomaly Detection, Background Prediction and Emergency Evacuation Routing in Real-Time Radiation Monitoring System.

For identifying natural trends, hotspots, hazardous areas, and mitigating potential health risk to the public and environment, spatial analysis of rad...

May 19 2026 42153887
Stress History Establishes a Transient Tolerant State That Shapes Antibiotic Survival Upon Resuscitation.

Antibiotic treatment failure, often driven by non-genetic mechanisms such as tolerance and persistence, remains a major global health challenge. β $\b...

May 19 2026 42153993
Machine learning and dose response effect models: an integrated approach to analyze the association between environmental variables and Cuneo Emergency Department admissions for Acute Otitis Media (2007-2015).

Acute otitis media (AOM) is a leading cause of pediatric Emergency Department visits, particularly among children under five years of age. Although it...

May 19 2026 42154319
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