Latest AI and machine learning research in emergency medicine for healthcare professionals.
BACKGROUND: Laparoscopic cholecystectomy is the preferred treatment for symptomatic cholelithiasis a...
The COVID-19 pandemic has accelerated advances in molecular biology and virology, enabling the ident...
OBJECTIVE: Facial trauma volume is difficult to predict accurately. We aim to understand the capacit...
BACKGROUND: Hemorrhagic transformation (HT) is a complication of reperfusion therapy following acute...
OBJECTIVE: To develop and validate an explainable machine learning (ML) model predicting the risk of...
Adverse effects of advanced age and poor initial neurological status on outcomes of patients with an...
Anaerobic digestion (AD), which relies on a complex microbial consortium for efficient biogas genera...
BACKGROUND: Identifying non-accidental trauma (NAT) in pediatric trauma patients is challenging. We ...
Point of departure (POD) is a concept used in risk assessment to calculate the reference dose of exp...
BACKGROUND: Hip fractures are a significant public health issue, particularly among the elderly popu...
Assessing whether texts are positive or negative-sentiment analysis-has wide-ranging applications ac...
BACKGROUND: Multidrug-resistant Klebsiella pneumoniae (MDR-KP) infections pose a significant global ...
BACKGROUND: Spontaneous intracerebral hemorrhage (SICH) is the second most common cause of cerebrova...
BACKGROUND: Patients are increasingly turning to the internet, and recently artificial intelligence ...
BACKGROUND AND PURPOSE: Â Hand fractures are commonly presented in emergency departments, yet diagnos...
Introduction Generative artificial intelligence (AI) chatbots, like ChatGPT, have become more compet...
BACKGROUND: This study aimed to investigate the association between serum heat shock protein 27 (HSP...
Available data on radiologists' missed cervical spine fractures are based primarily on studies usin...
OBJECTIVE: This study aims to investigate the effects of preoperative intracerebral hematoma volume ...
OBJECTIVE: Evaluate the accuracy and reliability of various generative artificial intelligence (AI) ...
It is feasible to predict delayed cerebral ischemia (DCI) after aneurysmal subarachnoid hemorrhage (...