Latest AI and machine learning research in emergency medicine for healthcare professionals.
The rapid increase in telemedicine coupled with recent advances in diagnostic artificial intelligenc...
Relatively little is known about the molecular pathways influenced by cannabis use in humans. We us...
In the past decade, a new approach for quantitative analysis of medical images and prognostic modell...
Accurate prediction of drug- and chemical-induced hepatotoxicity remains to be a problem for pharmac...
OBJECTIVE: To establish a model for predicting the outcome according to the clinical and computed to...
Quantification of fatty vacuoles in the liver, with differentiation from lumina of liver blood vesse...
Gait enables individuals to move forward and is considered a natural skill. However, gait disturbanc...
Coronaviruses (CoVs) are a large family of viruses that are common in many animal species, including...
BACKGROUND: Severe sepsis and septic shock are still the leading causes of death in Intensive Care U...
In view of the weak generalization of traditional event recognition methods, the limitation of depen...
Window settings to rescale and contrast stretch raw data from radiographic images such as Computed T...
Deep neural networks (DNN) are state-of-the-art machine learning algorithms that can be learned to s...
BACKGROUND: Emergency departments (ED) are a portal of entry into the hospital and are uniquely posi...
BACKGROUND The correct interpretation of the ECG is pivotal for the accurate diagnosis of many cardi...
Under the global pandemic of COVID-19, the use of artificial intelligence to analyze chest X-ray (CX...
BACKGROUND AND OBJECTIVE: Burns are a serious health problem leading to several thousand deaths annu...
This dataset is composed of annotations of the five hemorrhage subtypes (subarachnoid, intraventricu...
When an emergency event occurs, it is critical to respond in the shortest possible time. Therefore, ...
BACKGROUND: Emergency department (ED) overcrowding has been a serious issue and demands effective cl...
Research indicates that psychopathology in disaster survivors is a function of both experienced trau...
Emergency and trauma radiologists, emergency department's physicians and nurses, researchers, depart...