Latest AI and machine learning research in emergency medicine for healthcare professionals.
The emergency department (ED) plays a very significant role in the hospital. Owing to the rising num...
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...
BACKGROUND: Artificial intelligence (AI)-driven software has been developed and become commercially ...
2-Methylfuran (2-MF) exists naturally in foods and is used as a flavoring agent. Furan, the core str...
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 ...
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 ...
To tune and test the generalizability of a deep learning-based model for assessment of COVID-19 lung...
The study aims to measure the effectiveness of an AI-based traumatic intracranial hemorrhage predict...
BACKGROUND: Airspace disease as seen on chest X-rays is an important point in triage for patients in...
Brain imaging is essential to the clinical care of patients with stroke, a leading cause of disabili...
Background Developing deep learning models for radiology requires large data sets and substantial co...
PURPOSE: Accurate assessment of the percentage of total body surface area (%TBSA) burned is crucial ...