Medical Education

Value of robotic surgery simulation for training surgical residents and attendings: a systematic review protocol.

INTRODUCTION: Robotic surgery is a method of minimally invasive surgery performed through small incisions using a remote robotic console. Surgical residents and attendings participate in simulation training to be able to effectively perform robotic surgery using wet labs, dry labs and virtual reality platforms. Our objective is to identify the effectiveness of robotic simulation on novice robotic ...

Design and optimization of wall-climbing robot impeller by genetic algorithm based on computational fluid dynamics and kriging model.

In recent years, wall-climbing robots have begun to replace manual work at heights to reduce economic losses and casualties caused by working at heights. This paper designs a negative pressure adsorption type wall-climbing robot and analyzes the internal fluid movement state of its negative pressure device and the force analysis of the robot when it is adsorbed and balanced. Furthermore, through t...

Multi-fidelity surrogate modeling through hybrid machine learning for biomechanical and finite element analysis of soft tissues.

Biomechanical simulation enables medical researchers to study complex mechano-biological conditions, although for soft tissue modeling, it may apply h...

The current status of robotic colorectal surgery training programmes.

Robotic-assisted colorectal surgery (RACS) is steadily increasing in popularity with an annual growth in the number of colorectal procedures undertake...

Layout Optimization of Urban Cultural Space Construction Based on Forward Three-Layer Neural Network Model.

The change of urban cultural space layout is a multi-variable, multi-objective, and restricted research process. The optimization of urban cultural sp...

Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation.

Deep neural networks are known to be data-driven and label noise can have a marked impact on model performance. Recent studies have shown great robust...

Design of Sports Training Simulation System for Children Based on Improved Deep Neural Network.

With the development of AI technology, human-computer interaction technology is no longer the traditional mouse and keyboard interaction. AI and VR ha...

Design of Assessment Judging Model for Physical Education Professional Skills Course Based on Convolutional Neural Network and Few-Shot Learning.

In recent years, the promotion of quality education and the development of curriculum and teaching materials reform have put forward higher goals and ...

Multimodal English Teaching Classroom Interaction Based on Artificial Neural Network.

In recent years, with the rapid development of science and technology, traditional teaching methods and concepts have been frequently impacted. Artifi...

Twisting for soft intelligent autonomous robot in unstructured environments.

Soft robots that can harvest energy from environmental resources for autonomous locomotion is highly desired; however, few are capable of adaptive nav...

Machine Learning for The Prediction of Ranked Applicants and Matriculants to an Internal Medicine Residency Program.

: Residency programs throughout the country each receive hundreds to thousands of applications every year. Holistic review of this many applications i...

Optimization of dewatering process of concentrate pressure filtering by support vector regression.

This work studies the mechanism and optimization methods of the filter press dehydration process to better improve the efficiency of the concentrate f...

Deformation Modeling and Simulation of a Novel Bionic Software Robotics Gripping Terminal Driven by Negative Pressure Based on Classical Differential Algorithm.

A general pneumatic soft gripper is proposed in this paper. Combined with the torque balance theory, the mathematical theoretical model of bending def...

Exploring Online Teaching Design of Curriculum Politics by Deep Learning and Visual Sensing Technology.

The study aims to explore the online teaching design of ideological and political education (IPE). Based on the relevant theories of deep learning (DL...

Research on the Effectiveness of Probabilistic Stochastic Convolution Neural Network Algorithm in Physical Education Teaching Evaluation.

In practice, PE teaching evaluation based on probabilistic convolutional neural network still faces some practical problems. At present, the existing ...

Outcome Prediction in Patients with Severe Traumatic Brain Injury Using Deep Learning from Head CT Scans.

Background After severe traumatic brain injury (sTBI), physicians use long-term prognostication to guide acute clinical care yet struggle to predict o...

Hierarchical deep learning model to simulate phytoplankton at phylum/class and genus levels and zooplankton at the genus level.

Harmful algal blooms (HABs) have become a global issue, affecting public health and water industries in numerous countries. Because funds for monitori...

Simulation and Artificial Intelligence in Rhinoplasty: A Systematic Review.

BACKGROUND: Rhinoplasty is one of the most popular cosmetic procedures. The complexity of the nasal structure and the substantial aesthetic and functi...

Robotic CME in obese patients: advantage of robotic ultrasound scan for vascular dissection.

Complete mesocolic excision (CME) in right-sided colon cancers appears to confer oncological benefits compared to conventional colectomy. Identificati...

Neural Networks Application for the Data of PID Controller for Acrobot.

Acrobots are a system that has levels of operating states in many investigated cases, and they are subjects to many events during operation due to the...