Latest AI and machine learning research in medical education for healthcare professionals.
PURPOSE: Advances in artificial intelligence applied to diagnostic radiology are predicted to have a major impact on this medical specialty. With the ...
In this work, a swarm behaviour for multi-rotor Unmanned Aerial Vehicles (UAVs) deployment will be presented. The main contribution of this behaviour ...
OBJECTIVE: To generate new knowledge that describes and explains the views and understanding, regarding midwifery and normal birth, that newly enrolle...
Coarse-grained (CG) simulation models have become very popular tools to study complex molecular systems with great computational efficiency on length ...
INTRODUCTION: The aim of this study was to assess the effectiveness of improving the attitude of dental students towards the use of a full-body patien...
Long length of stay and overcrowding in emergency departments (EDs) are two common problems in the healthcare industry. To decrease the average length...
Noises and artifacts are introduced to medical images due to acquisition techniques and systems. This interference leads to low contrast and distortio...
BACKGROUND AND OBJECTIVES: Nowadays, the integrated CAD/CAE systems are favored solutions for the design of simulation models for casting metal substr...
One of the major challenges of evolutionary robotics is to transfer robot controllers evolved in simulation to robots in the real world. In this artic...
Simulation and positioning are very important aspects of computer aided engineering. To process these two, we can apply traditional methods or intelli...
Educational software (apps) can improve science education by providing an interactive way of learning about complicated topics that are hard to explai...
This paper aims to develop a novel cost-effective framework for face identification, which progressively maintains a batch of classifiers with the inc...
We are developing a cooperatively controlled robot system for image-guided radiation therapy (IGRT) in which a clinician and robot share control of a ...
In recent years, simulation of the human electroencephalogram (EEG) data found its important role in medical domain and neuropsychology. In this paper...
Increase in complexity of neuronal network models escalated the efforts to make NEURON simulation environment efficient. The computational neuroscient...
The scientific interest attracted by Spiking Neural Networks (SNN) has lead to the development of tools for the simulation and study of neuronal dynam...
Probabilities can be consistently estimated using random forests. It is, however, unclear how random forests should be updated to make predictions for...
Nasogastric tube (NGT) placement is an essential clinical skill. The training is conventionally performed on rubber mannequins albeit practical limita...