Emergency Medicine

Transcending Structural Dependencies: A Tunable Mass Spectrometry-Driven Machine Learning Framework for Genotoxicity Prediction.

The escalating global challenge of genotoxic compounds (GCs) in environmental, pharmaceutical, and food contexts necessitates analytical approaches that combine high efficiency with independence from prior structural information. Here, we present GenoToxMass, a pioneering mass spectrometry-based predictive model that eliminates dependence on prior chemical structure. Constructed from a rigorously ...

Infections in Burn Patients: Pathophysiology, Prevention, and Contemporary Therapeutic Strategies in the Era of Antimicrobial Resistance.

Burn injuries are associated with significant morbidity and mortality, largely driven by infectious complications. Disruption of the skin barrier, systemic inflammation, and postburn immunosuppression promote microbial colonization and progression to local and systemic infections, a challenge further exacerbated by the increasing prevalence of multidrug-resistant organisms (MDRO). Patients with ex...

Exploring the ROS-Related Therapeutic Mechanism of Bushen Huoxue Decoction in Postmenopausal Osteoporosis through Transcriptomics and Network Pharmacology.

INTRODUCTION: Postmenopausal osteoporosis (PMOP) involves bone loss and fracture risk, driven by estrogen deficiency, oxidative stress, immune dysregu...

Expeditionary Point-of-Care Ultrasound for Combat and Austere Environments.

BACKGROUND: Point-of-care ultrasound (POCUS) enhances combat survivability, yet civilian standards often fail to address battlefield constraints. This...

Predicting Intramyocardial Hemorrhage Before Reperfusion in STEMI Patients With Intrinsically Explainable Artificial Intelligence.

BACKGROUND: Intramyocardial hemorrhage (IMH) complicates approximately 40% of reperfused ST-segment elevation myocardial infarctions (STEMIs) and is a...

SLC22A4 as a candidate regulator linking immunity and ferroptosis in septic shock.

Septic shock is a life-threatening syndrome characterized by immune dysregulation, oxidative injury, and high mortality. To identify candidate regulat...

Machine learning-guided design of mechanoadaptive bioglues for multitissue trauma and first-aid applications.

Treating wounds that involve multiple types of injury is particularly challenging due to their complex morphology and the diverse mechanical propertie...

Network and machine learning analysis of childhood trauma, mental health, and AI-based emotional support needs in adolescents from underdeveloped regions.

BACKGROUND: The current intervention efficacy of generative conversational artificial intelligence (GCAI) on overall mental health issues remains limi...

Large language models and generative artificial intelligence in endodontics: a scoping review.

The aim of this study is to comprehensively examine the evolution of artificial intelligence (AI), specifically large language models (LLMs), in the f...

External validation of machine learning models for estimation of mortality 1, 3, 6, and 12 months after hip fracture on 5,055 consecutive patients.

BACKGROUND AND PURPOSE:  Many models for prediction of mortality after hip fracture have been published but few have undergone external validation, us...

Caregiver Preferences for AI-Supported Telemedicine in Pediatric Palliative Care: A Discrete Choice Experiment.

BackgroundAsynchronous telemedicine may support home-based pediatric palliative care (PPC) by improving access to professional guidance and reducing c...

Comparative evaluation of generative AI models for chest radiograph report generation in the emergency department.

OBJECTIVES: To benchmark medical image-specific vision-language models (VLMs) against real-world radiologist-written reports, focusing on diagnostic q...

Comparison of the performance of ChatGPT Plus, Gemini Pro, and experienced nurses in pediatric emergency triage using physician reference assessment: A prospective observational study.

AIM: We aimed to evaluate the performance of ChatGPT Plus and Gemini Pro, two large language model-based artificial intelligence (AI) tools, to predic...

Integrating network toxicology, molecular docking and experimental validation reveals potential mechanisms of DEHP in osteoarthritis.

Di(2-ethylhexyl) phthalate (DEHP), a ubiquitous environmental endocrine disruptor, has been implicated in osteoarthritis (OA) pathogenesis, although t...

An empirical study of machine learning robustness and scalability for imbalanced tabular clinical data in emergency and critical care.

Every year, millions of patients pass through emergency departments and intensive care units where clinicians must make life-altering decisions under ...

Psychological safety and perceived risk are associated with emergency nurses' intention to use AI-augmented triage systems.

Emergency department overcrowding places sustained pressure on triage workflows and patient prioritization. Artificial intelligence (AI)-augmented tri...

Global advances in health artificial intelligence: a workforce imperative.

The global health workforce is approaching a breaking point, driven by administrative overload, inefficient workflows, burnout, and accelerating retir...

Deciphering the potential molecular links between ochratoxin A and colorectal cancer: an integrated computational toxicological and single-cell transcriptomic study.

BACKGROUND: Ochratoxin A (OTA), a common foodborne mycotoxin, is classified as a potential human carcinogen. However, the specific molecular mechanism...

Transportation 4.0 planning in emergency medical services considering real-time ambulance two-phase assignment-routing and mission change.

Transportation 4.0 enables smart planning in urban and interurban transportation networks by leveraging intelligent technologies, such as Internet of ...

BCAT1 mediates the carcinogenic effects of environmental bisphenol exposure: mechanistic discoveries in osteosarcoma and pan-cancer analysis.

Bisphenols (including BPA, BPF, BPS, BPAF and TBBPA) are ubiquitous environmental endocrine disruptors linked to increased risk of multiple malignanci...