Latest AI and machine learning research in emergency medicine for healthcare professionals.
OBJECTIVES: We evaluated the feasibility of optimising coronary perfusion pressure (CPP) during card...
In clinical trials, animal and cell line models are often used to evaluate the potential toxic effec...
As defined by the World Health Organization, an endocrine disruptor is an exogenous substance or mix...
Piperacillin/tazobactam (PTZ) extended infusion (EI) is often used empirically in the intensive car...
Artificial intelligence (AI) presents a key opportunity for radiologists to improve quality of care ...
BACKGROUND: Currently, physicians are limited in their ability to provide an accurate prognosis for ...
We retrospectively reviewed 12 minimally displaced fractures of the scaphoid waist in 12 patients wh...
BACKGROUND: Identification of systolic heart failure among patients presenting to the emergency depa...
BACKGROUND: Visual and auditory signs of patient functioning have long been used for clinical diagno...
Background The coronavirus disease 2019 (COVID-19) pandemic has spread across the globe with alarmin...
The study aims were to develop fracture prediction models by using machine learning approaches and g...
BACKGROUND: Acceptance and commitment therapy (ACT) is a pragmatic approach to help individuals decr...
[This corrects the article DOI: 10.1148/ryai.2020190211.].
BACKGROUND: Artificial intelligence (AI) is a field involving computational simulation of human inte...
The practice of non-testing approaches in nanoparticles hazard assessment is necessary to identify a...
STUDY OBJECTIVE: Acute kidney injury occurs commonly and is a leading cause of prolonged hospitaliza...
Sepsis is the primary cause of burn-related mortality and morbidity. Traditional indicators of sepsi...
In a digitally enabled healthcare setting, we posit that an individual's current location is pivotal...
At present, the traditional scoring methods generally utilize laboratory measurements to predict mor...
INTRODUCTION: The opioid epidemic has altered normative clinical perceptions on addressing both acut...
Predicting outcome in comatose patients after successful cardiopulmonary resuscitation is challengin...