Latest AI and machine learning research in emergency medicine for healthcare professionals.
Over a three-month period in early 2017, the Hennepin County Medical Examiner's Office investigated ...
INTRODUCTION: The incidence of remote cerebellar hemorrhage (RCH) in patients with a dural tear duri...
Cow's milk allergy is mainly observed in infants and young children. Most allergic reactions affect ...
Combinations of new antidepressants like duloxetine and second-generation antipsychotics like quetia...
Rapid diagnosis and treatment of acute neurological illnesses such as stroke, hemorrhage, and hydroc...
PURPOSE: The aim of this study was to develop and validate a decision support model using a machine ...
OBJECTIVE: To predict hospital admission at the time of ED triage using patient history in addition ...
A large recent study analyzed the relationship between multiple factors and neonatal outcome and in...
Interest in artificial intelligence (AI) research has grown rapidly over the past few years, in part...
Fluid management has a major impact on the duration, severity, and outcome of critically ill childre...
BACKGROUND: The use of big data and machine learning within clinical decision support systems (CDSSs...
OBJECTIVE: The prediction of emergency department (ED) disposition at triage remains challenging. Ma...
Analyzing geological drilling hole images acquired by Axial View Panoramic Borehole Televiewer (APBT...
Experimental paradigms used in affective and clinical science often use stimuli such as images, scen...
Adverse drug events (ADEs) are common and have serious consequences in older adults. ED visits are o...
Electronic health records have brought valuable improvements to hospital practices by integrating pa...
The aim of this study is to utilize the Defense and Veterans Eye Injury and Vision Registry clinical...
The United States is in the midst of a prescription opioid epidemic, with the number of yearly opioi...
Identifying trauma patients at risk of imminent hemorrhagic shock is a challenging task in intraoper...
Background and purpose - We aimed to evaluate the ability of artificial intelligence (a deep learnin...
Opioid overdose-related morbidity and mortality remain one of the most pressing public health crises...