Latest AI and machine learning research in emergency medicine for healthcare professionals.
BACKGROUND: To cope with the enormous burdens placed on health care systems around the world, from t...
PURPOSE: Appropriate opioid management is crucial to reduce opioid overdose risk for ICU surgical pa...
PURPOSE: To evaluate AI-based chat bots ability to accurately answer common patient's questions in t...
Intracranial aneurysms (IAs), an asymptomatic vascular lesion, are becoming increasingly common as i...
BACKGROUND: Machine learning (ML) refers to computational algorithms designed to learn from patterns...
Sepsis, characterized as a systemic inflammatory response triggered by the invasion of pathogens, re...
The increasing application of generative artificial intelligence large language models (LLMs) in var...
BACKGROUND: Pulmonary hemorrhage (PH) in respiratory distress syndrome (RDS) in extremely preterm in...
Advanced suspect and non-target screening (SNTS) approach can identify a large number of potential h...
BACKGROUND: To retrospectively assess the added value of an artificial intelligence (AI) algorithm f...
BACKGROUND: Hip fractures are among the most morbid acute orthopaedic injuries often due to accompan...
STUDY OBJECTIVE: This study investigates the potential to improve emergency department (ED) triage u...
Periventricular anastomosis (PA) is the characteristic collateral network in Moyamoya disease (MMD)....
Estimation of the age of epidural hematoma (EDH) is a challenge in clinical forensic medicine, and t...
Artificial intelligence (AI) is an interdisciplinary field that combines computer technology, mathem...
INTRODUCTION AND OBJECTIVE: Modern and intelligent triage systems are used today due to the growing ...
BACKGROUND: In Emergency Departments (EDs), triage is crucial for determining patient severity and p...
Magnetic resonance imaging remains the gold standard for diagnosing osteoporotic vertebral compressi...
BACKGROUND: Dens evaginatus is a dental morphological developmental anomaly. Failing to detect it ma...
Specifying and interpreting the occurrence of emerging pollutants is essential for assessing treatme...
The aim of the present study was to train a natural language processing model to recognize key text ...