Latest AI and machine learning research in emergency medicine for healthcare professionals.
Abdominal symptoms are a common reason for emergency department visits, yet early admission decisions remain challenging due to limited diagnostic information available at the initial stage of evaluation. Abdominal radiography is frequently performed as a first-line imaging modality, but its role in supporting early hospitalization decisions remains underexplored. In this study, we propose a multi...
BACKGROUND: Patients with type 2 diabetes mellitus (T2DM) prone to acute diabetic complications are at high risk for emergency department (ED) visits, which often precede hospitalization and mortality. Identifying these high-risk phenotypes before deterioration is critical for preventative care. We developed machine learning (ML) models using large-scale, real-world electronic medical records, inc...
BACKGROUND: Blood gas parameters are associated with sepsis prognosis. This study aimed to develop an assessment model based on blood gas parameters f...
INTRODUCTION: The use of integrated artificial intelligence (AI) in prehospital emergency services can not only increase the quality of services, but ...
BACKGROUND: Early prediction of hospital admission at the emergency department (ED) triage can improve patient flow and resource allocation. Most exis...
BACKGROUND: Fentanyl overdose deaths are still increasing across the U.S. Even though the crisis is growing, we still do not fully understand which co...
BACKGROUND: Large language models (LLMs) are increasingly being explored for clinical decision support. However, whether inference-only LLM outputs ca...
BACKGROUND: At least 50% of individuals who suffer sudden cardiac arrest (SCA) have warning symptoms before their SCA, but these are not sufficient to...
Acute aortic dissection (AD) is a time-critical cardiovascular emergency that is clinically difficult to distinguish from other causes of acute chest ...
Plasticizer exposure has been associated with gestational diabetes mellitus (GDM), but the placental toxicogenomic mechanisms that may connect environ...
OBJECTIVE: To identify time-windowed clinical predictors of in-hospital cardiac arrest (IHCA) and develop a temporally validated, calibrated machine-l...
Predicting the toxicity of pharmaceutical compounds remains a major challenge in drug discovery. Early and accurate toxicity assessment is essential f...
OBJECTIVE: Early differentiation of pediatric acute respiratory infections in outpatient and emergency settings is often hindered by nonspecific clini...
INTRODUCTION: As ultrasound technology has become more advanced and accessible over the years, point-of-care ultrasound (POCUS) is becoming a tool as ...
Orbital reconstruction after trauma or pathology requires precise restoration of anatomical symmetry to prevent functional and aesthetic impairment. A...
Parkinson's disease (PD) is the fastest-growing neurodegenerative disorder worldwide, with projections exceeding 25 million people by 2050. Its burden...
INTRODUCTION: This descriptive study aimed to longitudinally evaluate the performance of contemporary large language models - ChatGPT-5, Gemini 2.5 Fl...
Endovascular thrombectomy (EVT) has transformed the treatment of acute ischemic stroke (AIS). However, a substantial proportion of AIS patients experi...
Intracranial hemorrhage (ICH) is an emergency clinical condition that requires rapid diagnosis. In patients with suspected ICH, head computed tomograp...
BACKGROUND: Medical errors occur more frequently in health care than in other industries due to challenges in patient safety education for nurses and ...