Latest AI and machine learning research in emergency medicine for healthcare professionals.
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...
Several case series have demonstrated the safety and feasibility of outpatient robot-assisted radic...
OBJECTIVES: This study aims to detect frontal pelvic radiograph femoral neck fracture using deep lea...
Artificial intelligence (AI) refers to machines or software that process information and interact wi...
This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency M...
Emergency department (ED) overcrowding is a global condition that severely worsens attention to pati...
BACKGROUND: Low-acuity outpatients constitute the majority of emergency department (ED) patients, an...
Chest radiography (CXR) is the most commonly used imaging modality and deep neural network (DNN) alg...
Clinical trials often fail to recruit an adequate number of appropriate patients. Identifying eligib...
BACKGROUND: In emergency medical services (EMSs), accurately predicting the severity of a patient's ...
Experiences of sexual trauma are associated with adverse patient and health system outcomes, but ar...
Opioid addiction in the United States has come to national attention as opioid overdose (OD) related...
The goal of this study was to investigate the application of machine learning models capable of capt...
Drug safety is a severe clinical pharmacology and toxicology problem that has caused immense medical...
The exercise of non-testing approaches in nanoparticles (NPs) hazard assessment is necessary for the...
BACKGROUND: Fracture of the distal radius is a common wrist injury. As to its management after ortho...
RATIONALE AND OBJECTIVES: Misdiagnosis of intracranial hemorrhage (ICH) can adversely impact patient...
BACKGROUND: Acute aortic syndrome (AAS) comprises a complex and potentially fatal group of condition...