Latest AI and machine learning research in medical education for healthcare professionals.
This paper aims to develop a novel cost-effective framework for face identification, which progressively maintains a batch of classifiers with the increasing face images of different individuals. By naturally combining two recently rising techniques: active learning (AL) and self-paced learning (SPL), our framework is capable of automatically annotating new instances and incorporating them into tr...
We are developing a cooperatively controlled robot system for image-guided radiation therapy (IGRT) in which a clinician and robot share control of a 3-D ultrasound (US) probe. IGRT involves two main steps: 1) planning/simulation and 2) treatment delivery. The goals of the system are to provide guidance for patient setup and real-time target monitoring during fractionated radiotherapy of soft tiss...
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...
Swarm robotics is a promising approach for the coordination of large numbers of robots. While previous studies have shown that evolutionary robotics t...
The robotic surgical platform is being utilized by a growing number of hospitals across the country, including academic medical centers. Training prog...
A predictive model for streamflow has practical implications for understanding the drought hydrology, environmental monitoring and agriculture, ecosys...
In this paper, a simple, rapid and sensitive method based on liquid chromatography with fluorimetric detection (HPLC-FLD) for the determination of ami...
Cells internalize various molecules through clathrin-mediated endocytosis (CME). Previous live-cell imaging studies suggested that CME is inefficient,...
The number, size and complexity of computational models of biological systems are growing at an ever increasing pace. It is imperative to build on exi...
An improved quantum artificial fish swarm algorithm (IQAFSA) for solving distributed network programming considering distributed generation is propose...
Simulation of neural behavior on digital architectures often requires the solution of ordinary differential equations (ODEs) at each step of the simul...
BACKGROUND: Worldwide, the annual number of robotic surgical procedures continues to increase. Robotic surgical skills are unique from those used in e...
OBJECTIVES: To explore the views of experts about the development and validation of a robotic surgery training curriculum, and how this should be impl...
This paper presents a new framework for synchronization of complex network by introducing a mechanism of event-triggering distributed sampling informa...
Despite the considerable number of in vivo and in vitro studies on the digestive fate of lipophilic nutrients, micronutrients, and bioactives, the eff...
An experimental assessment of personal exposure to PM10 in 59 office workers was carried out in Dublin, Ireland. 255 samples of 24-h personal exposure...