Latest AI and machine learning research in emergency medicine for healthcare professionals.
A number of processes and pathways have been reported in the development of Post-Traumatic Stress Di...
BACKGROUND: Monteggia fractures are a complex elbow injury that can be missed in up to 50% of pediat...
OBJECTIVE: Perfluorooctanoic Acid (PFOA), widely recognized as an enduring environmental pollutant, ...
INTRODUCTION: The performance of cutting-edge generative artificial intelligence (GenAI) in guiding ...
BACKGROUND: Accurately forecasting patient arrivals in hospital emergency departments (EDs) is criti...
The causal relationship between the artificial sweetener aspartame and ovarian cancer (OC), a highly...
BACKGROUND: Large language models (LLMs) like ChatGPT are increasingly being recognized as credible ...
BACKGROUND: Industry 6.0 represents the next frontier in technological evolution, integrating artifi...
OBJECTIVE: This study aimed to evaluate the diagnostic performance of ChatGPT in identifying acute s...
PURPOSE OF REVIEW: To review contemporary applications, performance, and implementation challenges o...
BACKGROUND: Cervical spine (c-spine) injuries can lead to significant disability and mortality. Alth...
AIM: To assess the value of quantitative EEG (qEEG) as a diagnostic and prognostic biomarker in infa...
Pediatric femoral neck fractures (FNFs) are uncommon but may result in severe complications if undia...
Mild traumatic brain injury typically produces no abnormalities on neuroimaging yet elicits symptoms...
RATIONALE AND OBJECTIVES: To provide a context-aware evaluation of deep learning algorithms for vert...
Prostate MRI has transformed lesion detection and risk stratification in prostate cancer, but its im...
Rapid evaluation, triage, and transport of patients with stroke for thrombolytics, thrombectomy, and...
BACKGROUND: This study assesses the capability of ChatGPT and nurses in accurately triaging emergenc...
BACKGROUND: Artificial intelligence is becoming increasingly utilized as a source of convenient, eff...
The increasing emerging contaminants (ECs) pose significant challenges to non-targeted screening (NT...
OBJECTIVES: To develop and externally validate a computed tomography (CT)-based multitask learning m...