Emergency Medicine

Intelligent model for stratification of acute radiation syndrome severity in humans.

PURPOSE: The aim of this study was to develop and compare two intelligent model for stratifying the severity of acute radiation syndrome (ARS) in humans based on clinical, hematological, and radiobiological parameters. METHOD: The high inter-individual variability of clinical parameters and the infeasibility of conducting randomized studies in radiation medicine necessitated the use of machine lea...

CT-Based Bone Habitat Radiomics for Predicting Risk of Vertebral Fracture in Older Adults: A Longitudinal Study.

Study design/settingRetrospective longitudinal study.PurposeOsteoporotic vertebral fractures (OVF) are common in middle-aged and elderly populations. However, few studies have predicted the risk of OVF from the perspective of the bone heterogeneity. This study conducted a longitudinal study to predict the risk of OVF in individuals over 50 years old based on habitat radiomics which can quantify he...

Artificial intelligence enabled prediction of hip fragility fracture risk using hip radiograph: an attractive approach yet more work needs to be done.

From accuracy to impact: Bridging the methodological gap in artificial intelligence for emergency department care.

Artificial intelligence applications in emergency triage for suspected acute coronary syndrome: a systematic review.

BACKGROUND: Acute coronary syndromes (ACS) are time-critical conditions requiring rapid and accurate triage in the emergency department. Traditional t...

Carbon quantum dots exacerbate Parkinson's disease-like pathology through microglia-mediated neuroinflammatory responses with toxicological implications.

The global burden of Parkinson's disease (PD) is projected to double by 2050, with early-onset cases demonstrating accelerated progression and limited...

Natural Language Processing and Machine Learning Classification Model for Injury Mechanism in Trauma.

INTRODUCTION: Creating and maintaining research databases in trauma can be resource intensive. Natural language processing (NLP) may assist by extract...

Comparing Risk Prediction for Suicide Attempts and Deaths After Emergency Department Visits for Individuals With Mental Health Disorders.

Objective: To identify and compare predictors of nonfatal and fatal suicidal events within 180 days of emergency department (ED) visits for mental hea...

Artificial Intelligence-Enabled Electrocardiographic Detection of Severe Aortic Stenosis Leading to Transcatheter Aortic Valve Replacement.

BACKGROUND: EchoNext is an artificial intelligence (artificial intelligence)-enabled electrocardiographic (ECG) model validated to detect unrecognized...

Variable Performance Across Radiography Vendors of a Commercial Artificial Intelligence System for Fracture Detection: A Multisite Evaluation.

A Review on Automatic Personal Identification Using Panoramic Radiographs and Computed Tomography.

Identifying completely unknown individuals is a major challenge in forensic and emergency medicine. Radiology offers a promising solution by using uni...

AI Triage in Primary Care: Building Safer and More Equitable Real-World Evidence.

Artificial intelligence triage in general practice is developing rapidly within the primary care digital transformation, promising efficiency gains an...

Determinants of labor epidural analgesia uptake and associations with maternal-neonatal outcomes: a stratified cohort study with risk prediction modeling.

BACKGROUND: Labor pain is a major physiological and psychological stressor for women during childbirth. Epidural analgesia is widely recognized as the...

Contribution of social determinants to symptoms of generalized anxiety disorder.

Symptoms of anxiety are known to be triggered by a range of life context factors including early life trauma, poor sleep quality, infrequent exercise,...

Bridging AI advancements with risk assessment needs: A journey towards effective use and regulatory acceptance.

In recent years, the development of artificial intelligence (AI), including machine learning (ML) and deep learning (DL), has not only captured the at...

From stigma to sanctuary: A conceptual framework for M-PODS, a low-cost, AI-powered mental health pod.

A conceptual framework for an AI driven mental health pod (M-PODS), that can help to step care and triage people who require mental health support, to...

Natural language processing of biomedical text to map and prioritize protein-disease associations in HFpEF.

The validation of promising clinical biomarkers, molecular mechanisms, and novel drug targets in cardiovascular disease (CVD) is hindered by a vast an...

Benzo[a]pyrene promotes gastric cancer progression via activation of the Correa cascade through modulation of the STAT3-TP53-MMP9 molecular axis.

To investigate the role of Benzo[a]pyrene (BaP) in driving the Correa cascade during gastric cancer development, we employed an integrated strategy co...

In-Hospital Mortality Prediction of Patients Requiring Extracorporeal Membrane Oxygenation Using Composite Lactate Metrics and Weight of Evidence Modeling.

BACKGROUND: Mortality prognostication in adult patients requiring extracorporeal membrane oxygenation (ECMO) is not accurate or established. We hypoth...

Increased risk of neurodevelopmental impairment associated with reduced brain volume at term-equivalent age in preterm infants with germinal matrix hemorrhage.