Latest AI and machine learning research in emergency medicine for healthcare professionals.
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...
OBJECTIVE: Hip fractures are among the most frequently occurring fragility fractures in older adults...
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...
Background Chest radiography may play an important role in triage for coronavirus disease 2019 (COVI...
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...
BACKGROUND: Deep learning is a novel machine learning technique that has been shown to be as effecti...
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...
The reconsolidation and extinction of aversive memories and their boundary conditions have been exte...
In drug development, late stage toxicity issues of a compound are the main cause of failure in clini...
OBJECTIVE: The objective of this study is to apply machine learning algorithms for real-time and per...
Sepsis is defined as dysregulated host response caused by systemic infection, leading to organ failu...
Artificial intelligence is becoming increasingly important in dermatology, with studies reporting ac...