Latest AI and machine learning research in medical education for healthcare professionals.
Simulation of the cerebral cortex requires a combination of extensive domain-specific knowledge and ...
To improve the topical delivery of pilocarpine hydrochloride (PN) to treat glaucoma, flexible nano-l...
Combined intravenous and local intrathecal administration of meropenem in patients after craniotomy ...
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...
The stochastic neuron is a key for event-based probabilistic neural networks. We propose a stochasti...
Artificial intelligence (AI)Â has the potential to ease the human resources crisis in healthcare by f...
Over the last few decades, medical-assisted robots have been considered by many researchers, within ...
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...
Physical simulation systems are commonly used in training of midwifery and obstetrics students, but ...
The increasing demand for Android mobile devices and blockchain has motivated malware creators to de...
OBJECTIVES: To systematically review and synthesise the validity evidence supporting intraoperative ...
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...
This paper explores the case of using robots to simulate evolution, in particular the case of Hamilt...