Latest AI and machine learning research in emergency medicine for healthcare professionals.
Sarcopenia is associated with adverse clinical outcomes. CT-based skeletal muscle measurements for ...
More humans have died of tuberculosis (TB) than any other infectious disease and millions still die ...
OBJECTIVE: To determine the feasibility of using a machine learning algorithm to screen for large ve...
BACKGROUND: Accurate measurement of hemorrhage volume is critical for both the prediction of prognos...
Epigenetic modifications function in gene transcription, RNA metabolism, and other biological proces...
This study aimed to develop a method for detection of femoral neck fracture (FNF) including displace...
BACKGROUND: There is a significant mortality burden associated with emergency general surgery (EGS) ...
Acute Intracranial hemorrhage (ICH) is a life-threatening disease that requires emergency medical at...
The Covid-19 European outbreak in February 2020 has challenged the world's health systems, eliciting...
PURPOSE:  Since artificial intelligence is transitioning from an experimental stage to clinical impl...
IMPORTANCE: Triage in the emergency department (ED) is a complex clinical judgment based on the taci...
STUDY OBJECTIVE: While patient-centered communication and shared decisionmaking are increasingly rec...
Robot-assisted hand training adopting end-effector devices results in an additional reduction of mot...
BACKGROUND: Artificial intelligence of things (AIoT) may be a solution for predicting adverse outcom...
Interpersonal violence (IPV) is highly prevalent in the United States and is a major public health p...
What differentiates a trauma from an event that is merely upsetting? Wildly different definitions of...
BACKGROUND AND OBJECTIVE: The application of robot technology in fracture reduction ensures the mini...
This article presents the hardware-software design and implementation of an open, integrated, and sc...
Respiratory toxicology remains a major research area in the 21st century since current scenario of a...
BACKGROUND: Visual evaluation is the most common method of evaluating burn wounds. Its subjective na...
A 38-years-old female with an aortic valve replacement presented to an outside hospital (OSH) with f...