Latest AI and machine learning research in emergency medicine for healthcare professionals.
The drugs we use to cure our diseases can cause damage to the liver as it is the primary organ respo...
A rapid and reliable method to predict significant early hematoma growth in the acute setting is of...
Liquid chromatography coupled to high-resolution mass spectrometry (HRMS) enables data independent a...
After admission to emergency department (ED), patients with critical illnesses are transferred to in...
PURPOSE: To develop and evaluate a deep learning (DL) system for retinal hemorrhage (RH) screening u...
In a time when the incidence of severe traumatic brain injury (TBI) is increasing in low- to middle...
Septic shock is induced by an uncontrolled inflammatory immune response to pathogens and the surviva...
There is growing interest in the potential of artificial intelligence to support decision-making in ...
Intracerebral hemorrhage in preterm infants is a major cause of brain damage and cerebral palsy. The...
In general, chest radiographs (CXR) have high sensitivity and moderate specificity for active pulmon...
Severely burned and non-burned trauma patients are at risk for acute kidney injury (AKI). The study ...
Artificial intelligence (AI) is a general term that implies the use of a computer to model intellige...
Lipophilicity, as evaluated by the -octanol/buffer solution distribution coefficient at pH = 7.4 (lo...
In low and middle income countries, infectious diseases continue to have a significant impact, parti...
PURPOSE: Identification of patients for epidemiologic research through administrative coding has imp...
INTRODUCTION: Accurate data regarding opioid use, overdose, and treatment is important in guiding co...
The world population ageing is on the rise, which has led to an increase in the demand for medical c...
BACKGROUND: Timely, precise, and localized surveillance of nonfatal events is needed to improve resp...
Length of stay (LOS) and discharge destination predictions are key parts of the discharge planning p...
OBJECTIVE: To examine the association between the medical imaging utilization and information relate...
Quantifying the fate of antibiotics and antibiotic resistance genes (ARGs) in response to physicoche...