Latest AI and machine learning research in medical education for healthcare professionals.
Classical simulation of quantum computation is necessary for studying the numerical behavior of quan...
This paper presents a new neural network methodology for modelling of soft tissue deformation for su...
Mastering of medical knowledge to human is a lengthy process that typically involves several years o...
Knowledge of the thermodynamic properties of molecules is essential for chemical process design and ...
Simulation of the cerebral cortex requires a combination of extensive domain-specific knowledge and ...
Magnetic resonance imaging (MRI)-only radiotherapy treatment planning is attractive since MRI provid...
Deep learning has shown promising results in medical image analysis, however, the lack of very large...
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...
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...
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...
In recent years, simulation of the human electroencephalogram (EEG) data found its important role in...