Latest AI and machine learning research in emergency medicine for healthcare professionals.
The COVID-19 pandemic continues to impact people worldwide-steadily depleting scarce resources in he...
Machine learning has seen slow but steady uptake in diagnostic pathology over the past decade to ass...
Adrenal insufficiency (AI) is associated with an increase in the risk of mortality in ICU-admitted ...
INTRODUCTION AND OBJECTIVES: Lactate and its evolution are associated with the prognosis of patients...
PURPOSE: The purpose of this study was to conduct an external validation of a fracture assessment de...
To assess the impact of chemicals on an aquatic environment, toxicological data for three trophic le...
Postpartum hemorrhage is the leading cause of maternal morbidity. Clinical prediction of postpartum ...
One of the most common malignant tumors of the digestive tract is emergency colorectal cancer. In re...
This paper demonstrates how the combustion of fossil fuels for transport purpose might cause health ...
BACKGROUND: Histopathological assessment of transplant biopsies is currently the standard method to ...
OBJECTIVES: Artif icial intelligence (AI)-based image analysis is increasingly applied in the acute ...
PURPOSE: Paraquat and diquat are well-known toxic herbicides, at least responsible for hundreds of f...
If the progress made so far allows to save more and more lives, the resuscitation of 2021 is still a...
OBJECTIVES: To develop prognosis prediction models for COVID-19 patients attending an emergency depa...
BACKGROUND: The Mortality Probability Model (MPM) is used in research and quality improvement to adj...
Acquiring comprehensive knowledge about the uptake of pollutants, impact on tissue integrity and the...
BACKGROUND: Interpretation of chest radiographs (CRs) by emergency department (ED) physicians is inf...
OBJECTIVE: Pediatric focused assessment with sonography for trauma (FAST) is a sequence of ultrasoun...
Artificial Intelligence and machine learning (ML) methods are promising for risk-stratification, but...
There is increasing evidence that patient heterogeneity significantly hinders advancement in clinica...
Short-term reattendances to emergency departments are a key quality of care indicator. Identifying p...