Latest AI and machine learning research in emergency medicine for healthcare professionals.
Computational methods to predict molecular properties regarding safety and toxicology represent alte...
Selecting a model in predictive toxicology often involves a trade-off between prediction performance...
An important task in the early stage of drug discovery is the identification of mutagenic compounds....
Sepsis, a life-threatening organ dysfunction, is a clinical syndrome triggered by acute infection an...
Many patients with gout flares treated in the Emergency Department (ED) often do not receive optimal...
Applying state-of-the-art machine learning and natural language processing on approximately one mill...
OBJECTIVE: To develop machine learning (ML) models capable of predicting ICU admission and extended ...
Artificial intelligence is a rapidly evolving field, with modern technological advances and the grow...
Admission trauma whole-body CT is routinely employed as a first-line diagnostic tool for characteriz...
PURPOSE: In patients presenting with blunt hepatic injury (BHI), the utility of CT for triage to hep...
INTRODUCTION: Patients with sepsis who present to an emergency department (ED) have highly variable ...
BACKGROUND: There were 25.6 million attendances at Emergency Departments (EDs) in England in 2019 co...
Background Classical ST-T waveform changes on standard 12-lead ECG have limited sensitivity in detec...
BACKGROUND: Passive leg raising (PLR) predicts fluid responsiveness in critical illness, although re...
BACKGROUND: Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to...
STUDY OBJECTIVE: Machine-learning algorithms allow improved prediction of sepsis syndromes in the em...
This study was performed to propose a method, the Feature Ambiguity Mitigate Operator (FAMO) model, ...
Early admission to the neurosciences intensive care unit (NSICU) is associated with improved patient...
Traumatic brain injury (TBI) is a leading cause of death and disability. Yet, despite immense resear...
This research is conducted to investigate the problem of locating the trauma centers and helicopters...
OBJECTIVES: To evaluate for the first time the performance of a deep learning method based on no-new...