Medical Education

Data analysis and personalized recommendation of western music history information using deep learning under Internet of Things.

To improve the teaching effect of western music history, the curriculum reform of history education needs to be promoted under the background of the Internet of Things (IoT). At first, a discussion is made on the characteristics of history course, which is combined with the characteristics of teaching data easy to collect under the background of IoT. An analysis is conducted on the related theory ...

Developing basic robotic skills using virtual reality simulation and automated assessment tools: a multidisciplinary robotic virtual reality-based curriculum using the Da Vinci Skills Simulator and tracking progress with the Intuitive Learning platform.

This study sought to develop basic robotic surgical skills among surgical trainees across multiple specialties using a VR-based curriculum and provided objective, on-demand, automated assessments using the Intuitive Learning platform. This curriculum was developed using the Da Vinci Skills Simulator and included 24 exercises. A pre-test and post-test were required for completion of the curriculum....

[Robot-assisted surgery as an elective-fascinating lesson(s)?].

BACKGROUND: Even though robot-assisted operations have evolved to a standard procedure in surgery, they are underrepresented in the curriculum of curr...

A Critical Period for Robust Curriculum-Based Deep Reinforcement Learning of Sequential Action in a Robot Arm.

Many everyday activities are sequential in nature. That is, they can be seen as a sequence of subactions and sometimes subgoals. In the motor executio...

Domain generalization on medical imaging classification using episodic training with task augmentation.

Medical imaging datasets usually exhibit domain shift due to the variations of scanner vendors, imaging protocols, etc. This raises the concern about ...

Essential updates 2020/2021: Current topics of simulation and navigation in hepatectomy.

With the development of three-dimensional (3D) simulation software, preoperative simulation technology is almost completely established. The remaining...

An effective simulation- and measurement-based workflow for enhanced diagnostics in rhinology.

Physics-based analyses have the potential to consolidate and substantiate medical diagnoses in rhinology. Such methods are frequently subject to inten...

A novel approach on water resource management with Multi-Criteria Optimization and Intelligent Water Demand Forecasting in Saudi Arabia.

Ever-increasing demands for freshwater resources have elevated the likelihood of severe water stress in several places of Saudi Arabia during the last...

Application of Neural Network Algorithm Combined with Bee Colony Algorithm in English Course Recommendation.

The traditional BP neural network has the disadvantages of easy falling into local minimum and slow convergence speed. Aiming at the shortcomings of B...

Efficient anomaly detection from medical signals and images with convolutional neural networks for Internet of medical things (IoMT) systems.

Deep learning is one of the most promising machine learning techniques that revolutionalized the artificial intelligence field. The known traditional ...

Physical Human-Robot Interaction Using HandsOn-SEA: An Educational Robotic Platform With Series Elastic Actuation.

For gaining proficiency in physical human-robot interactions, it is crucial for engineering students to be provided with the opportunity to gain hands...

Application of Multidirectional Mutation Genetic Algorithm and Its Optimization Neural Network in Intelligent Optimization of English Teaching Courses.

Aiming at the problems existing in the traditional teaching mode, this paper intelligently optimizes English teaching courses by using multidirectiona...

Virtual Reality Simulation Has Weak Correlation with Overall Trainee Robot-Assisted Laparoscopic Hysterectomy Performance.

STUDY OBJECTIVE: Both simulator practice and intraoperative performance serve to inform surgical trainee training, but the skill transfer from simulat...

DeepCME: A deep learning framework for computing solution statistics of the chemical master equation.

Stochastic models of biomolecular reaction networks are commonly employed in systems and synthetic biology to study the effects of stochastic fluctuat...

Application of Artificial Intelligence in Medicine: An Overview.

Artificial intelligence (AI) is a new technical discipline that uses computer technology to research and develop the theory, method, technique, and ap...

The Importance of the Institution of a Robotic Curriculum on Resident Training and Performance.

In 2018, general surgery topped the number of robotic cases. Over 90% of residents participate, but only 65% of programs have a formal curriculum, and...

Overcoming Challenges of Applying Reinforcement Learning for Intelligent Vehicle Control.

Reinforcement learning (RL) is a booming area in artificial intelligence. The applications of RL are endless nowadays, ranging from fields such as med...

Higher Education Curriculum Evaluation Method Based on Deep Learning Model.

Higher education plays an important role in the improvement of people's quality and the development of our country. Therefore, it is necessary to eval...

When Do We Need Massive Computations to Perform Detailed COVID-19 Simulations?

The COVID-19 pandemic has infected over 250 million people worldwide and killed more than 5 million as of November 2021. Many intervention strategies ...

Dual-Input and Multi-Channel Convolutional Neural Network Model for Vehicle Speed Prediction.

With the development of technology, speed prediction has become an important part of intelligent vehicle control strategies. However, the time-varying...