Latest AI and machine learning research in medical education for healthcare professionals.
BACKGROUND: Robotic surgery is increasingly being used for complex oncologic operations, although cu...
Artificial intelligence (AI)Â has the potential to ease the human resources crisis in healthcare by f...
Laparoscopic complete mesocolic excision (CME) for transverse colon cancer is technically challengi...
INTRODUCTION: An approach to building a hybrid simulation of patient flow is introduced with a combi...
BACKGROUND: Cardiovascular disease (CVD) annually claims more lives and costs more dollars than any ...
PURPOSE: Advances in artificial intelligence applied to diagnostic radiology are predicted to have a...
In this work, a swarm behaviour for multi-rotor Unmanned Aerial Vehicles (UAVs) deployment will be p...
OBJECTIVE: To generate new knowledge that describes and explains the views and understanding, regard...
Coarse-grained (CG) simulation models have become very popular tools to study complex molecular syst...
INTRODUCTION: The aim of this study was to assess the effectiveness of improving the attitude of den...
Long length of stay and overcrowding in emergency departments (EDs) are two common problems in the h...
Noises and artifacts are introduced to medical images due to acquisition techniques and systems. Thi...
BACKGROUND AND OBJECTIVES: Nowadays, the integrated CAD/CAE systems are favored solutions for the de...
One of the major challenges of evolutionary robotics is to transfer robot controllers evolved in sim...
Simulation and positioning are very important aspects of computer aided engineering. To process thes...
Educational software (apps) can improve science education by providing an interactive way of learnin...
This paper aims to develop a novel cost-effective framework for face identification, which progressi...
We are developing a cooperatively controlled robot system for image-guided radiation therapy (IGRT) ...