Latest AI and machine learning research in emergency medicine for healthcare professionals.
Emergency Department (ED) overcrowding, often exacerbated by prolonged patient length of stay (LOS),...
Carotid atherosclerosis is a major contributor in the etiology of ischemic stroke. Although intrapla...
Subarachnoid hemorrhage (SAH) is a life-threatening and crucial neurological emergency. SAHDAI-XAI (...
Prognostication in patient with out-of-hospital cardiac arrest (OHCA) underwent extracorporeal cardi...
Timely admission to the emergency department is a crucial determinant of patient outcomes. Conversel...
Non-contrast CT head scans (NCCTH) are the most frequently requested cross-sectional imaging in the ...
Cardiovascular disease (CVD) screening faces significant challenges in resource-limited settings, wh...
Intracerebral hemorrhage (ICH) is among the most devastating forms of stroke, characterized by high ...
Diagnostic error in high-stakes clinical environments remains a significant cause of preventable har...
We consider the application of machine learning to the classification of tuberculosis (TB) based on ...
Three-dimensional (3D) electrocardiography (ECG) is a recent methodological advance that extends the...
Upper gastrointestinal bleeding (UGIB) is a life-threatening emergency requiring rapid risk assessme...
Trust is foundational to patient-physician relationships and is associated with improved care-seekin...
Health systems and payers require evidence that artificial intelligence (AI)-enabled decision suppor...
Acute myocardial infarction complicated by cardiogenic shock (AMI-CS) is a heterogeneous clinical sy...
Radiofrequency (RF)-induced burns are the most common MRI-related adverse event. Standard safety pra...
Accurate, affordable tuberculosis (TB) diagnostics that do not require sputum samples are urgently n...
To estimate the prevalence of silent vertebral compression fractures (VCF) in an asymptomatic popula...
As part of routine practice and documentation, emergency department (ED) clinicians routinely constr...
There is need to detect and intervene in pre-clinical phases of Alzheimer’s disease (AD). Electronic...
Opioid use disorder (OUD) is common in emergency departments (EDs); identification via structured co...