Latest AI and machine learning research in emergency medicine for healthcare professionals.
BACKGROUND: COVID-19 infected millions of people and increased mortality worldwide. Patients with su...
Osteoporosis is still a worldwide problem, particularly due to associated fragility fractures. Patie...
Nitrate (NO) pollution of waterbodies has attracted significant global attention as it poses a serio...
In materials science, machine learning has been intensively researched and used in various applicati...
The emergency department (ED) plays a very significant role in the hospital. Owing to the rising num...
OBJECTIVE: This paper aims to investigate a new continuum robot design and its motion implementation...
PURPOSE: We employ nnU-Net, a state-of-the-art self-configuring deep learning-based semantic segment...
In emergency scenarios where the on-site information is completely lacking or the original environme...
2-Methylfuran (2-MF) exists naturally in foods and is used as a flavoring agent. Furan, the core str...
BACKGROUND: Artificial intelligence (AI)-driven software has been developed and become commercially ...
Collaborative modelling of the Internet of Things (IoT) with Artificial Intelligence (AI) has merged...
OBJECTIVE: To explore the convolutional neural network (CNN) method in measuring hematoma volume-ass...
The identification of compound-protein relations (CPRs), which includes compound-protein interaction...
Butachlor herbicide belongs to the family of chloroacetanilide group, widely used for control of gra...
BACKGRUOUND: Since image-based fracture prediction models using deep learning are lacking, we aimed ...
PURPOSE: The purpose of this study was to assess the efficiency, safety, and accuracy of cannulated ...
Artificial intelligence (AI) applications in radiology have been rising exponentially in the last de...
OBJECTIVE: To evaluate the diagnostic accuracy of the app-based diagnostic tool Ada and the impact o...
An expert performs bone fracture diagnosis using an X-ray image manually, which is a time-consuming ...
At this stage, countries around the world have their own operating management model for the procurem...
The systematic study of drug metabolism began in the 19th Century, but most of what we know now has ...