Latest AI and machine learning research in emergency medicine for healthcare professionals.
BACKGROUND: Acute kidney injury (AKI) is frequent in patients resuscitated from cardiac arrest (CA) ...
BACKGROUND: Nursing triage documentation is the first free-form text data created at the start of an...
OBJECTIVE: Numerous attempts have been made to create a standardized "presenting problem" or "chief ...
In this addendum to the above paper, the Society for Endocrinology Clinical Committee and the origin...
Brain and breast tumors cause significant morbidity and mortality worldwide. Accurate and expedient ...
P-glycoprotein (P-gp) is a transmembrane protein that actively transports a wide variety of chemical...
Early defibrillation by an automated external defibrillator (AED) is key for the survival of out-of-...
In the terrestrial ecosystems, perennial challenges of increased frequency and intensity of wildfire...
Nano-Particles (NPs) are well established as important components across a broad range of products f...
BACKGROUND AND OBJECTIVE: To develop a machine learning model to predict urine output (UO) in sepsis...
Intracranial hemorrhage is a medical emergency that requires urgent diagnosis and immediate treatmen...
Avascular Necrosis (AN) is a cause of muscular-skeletal disability. As it is common amongst the youn...
BACKGROUND: Spontaneous intracerebral hemorrhage (ICH) is a devastating disease with high mortality ...
OBJECTIVES: To evaluate the performance of a novel three-dimensional (3D) joint convolutional and re...
The aim of this study is to evaluate the embolization techniques, as well as the effects and compli...
Free-text information is still widely used in emergency department (ED) records. Machine learning te...
OBJECTIVE: To develop machine learning models for classifying the severity of opioid overdose events...
Although delayed cerebral ischemia (DCI) is a well-known complication after subarachnoid hemorrhage ...
BACKGROUND: Social risk factors are important dimensions of health and are linked to access to care,...
OBJECTIVE: Machine learning techniques have demonstrated superior discrimination compared to convent...
BACKGROUND: Automated surveillance for cardiac arrests would be useful in overcrowded emergency depa...