Latest AI and machine learning research in emergency medicine for healthcare professionals.
BACKGROUND: Prehospital trauma triage is essential to get the right patient to the right hospital. H...
BACKGROUND & OBJECTIVES: Mental health disorders pose an increasing public health challenge worsened...
Differentiation of syncope from transient loss of consciousness can be challenging in the emergency ...
BACKGROUND: Acute traumatic coagulopathy (ATC) is a well-described phenomenon known to begin shortly...
Artificial Intelligence (AI) can enhance the precision and efficiency of diagnostics and treatments ...
Intracranial hemorrhage is a critical emergency that requires prompt and accurate diagnosis in the e...
BACKGROUND: Opioid use disorder (OUD) is a growing public health crisis, with opioids involved in an...
PURPOSE: Intracranial hemorrhage (ICH) is a life-threatening condition requiring rapid diagnostic an...
AIM OF THE STUDY: Artificial intelligence (AI) chatbots are established as tools for answering medic...
BACKGROUND: Cerebral hemorrhage is a critical medical condition that necessitates a rapid and precis...
Intraventricular hemorrhage (IVH) in preterm neonates presents a high risk for developing posthemorr...
OBJECTIVE: To compare diagnostic accuracy of artificial intelligence (AI) for cervical spine (C-spin...
STUDY OBJECTIVE: To use artificial intelligence (AI) to predict billing code levels for emergency de...
Multiple prognostic scores have been developed to predict morbidity and mortality in patients with s...
OBJECTIVES: This study aimed to assess the diagnostic performance of a support vector machine (SVM) ...
Pneumonia is a common postoperative complication in patients with aneurysmal subarachnoid hemorrhage...
AIMS: To investigate radiology staff perceptions of an AI tool for chest radiography triage, flaggin...
Osteoporosis, a skeletal disorder, is expected to affect 60% of women aged over 50 years. Dual-energ...
INTRODUCTION: Diagnosing and treating lung cancer in early stages is essential for survival outcomes...
AIM: To develop an artificial intelligence (AI) algorithm that diagnoses cataracts/corneal diseases ...
The prevalence and predictors of mortality following an ischemic stroke or intracerebral hemorrhage ...