Latest AI and machine learning research in emergency medicine for healthcare professionals.
OBJECTIVE: The aim of this study was to develop and validate a risk prediction tool for trauma-induc...
BACKGROUND: Rib fractures serve as both a marker of injury severity and a guide for clinical decisio...
There is increasing popularity in the use of artificial intelligence and machine-learning techniques...
Artificial intelligence (AI) is an iterative process by which information is captured, transformed i...
Apart from the tremendous increase in the demand for telemedicine during the COVID-19 pandemic, the ...
OBJECTIVES: Accurately stratifying patients in the preoperative period according to mortality risk i...
Femur fractures due to traumatic forces often require surgical intervention. Such surgeries require ...
OBJECTIVES: To develop and evaluate a machine learning model for predicting patient with trauma mort...
BACKGROUND: Previous models on prediction of shock mostly focused on septic shock and often required...
BACKGROUND: Classic risk assessment tools often treat patients' risk factors as linear and additive....
OBJECTIVE: The rapid onset of pediatric sepsis and the short optimal time for resuscitation pose a s...
IMPORTANCE: Accurate prediction of adverse outcomes after acute myocardial infarction (AMI) can guid...
BACKGROUND: In-field triage tools for trauma patients are limited by availability of information, li...
A need exists to accurately estimate overdose risk and improve understanding of how to deliver treat...
OBJECTIVE: Colorectal cancer (CRC) is the fourth most common cancer in UK. Symptomatic patients are ...
To evaluate the rib fracture detection performance in computed tomography (CT) images using a softwa...
New York City quickly became an epicentre of the COVID-19 pandemic. An ability to triage patients wa...
MOTIVATION: Many researchers with domain expertise are unable to easily apply machine learning (ML) ...
BACKGROUND: Aneurysmal subarachnoid hemorrhage (aSAH) is associated with a high mortality and poor n...
BACKGROUND: Predicting outcome after aneurysmal subarachnoid hemorrhage (aSAH) is known to be challe...
OBJECTIVE: To compare the therapeutic effect between rehabilitation robot rehabilitation training sy...