Medical Education

A Highly Energy-Efficient Hyperdimensional Computing Processor for Biosignal Classification.

Hyperdimensional computing (HDC) is a brain-inspired computing paradigm that operates on pseudo-random hypervectors to perform high-accuracy classifications for biomedical applications. The energy efficiency of prior HDC processors for this computationally minimal algorithm is dominated by costly hypervector memory storage, which grows linearly with the number of sensors. To address this, the memo...

Artificial Intelligence in Oral and Maxillofacial Surgery Education.

Artificial intelligence has become ubiquitous with modern technology. Digital transformations are occurring in every field including medicine, surgery, and education. Computers and computer programs are getting sophisticated to form neural networks globally. These algorithms allow for sophisticated and complex pattern recognitions and make accurate predictions. This allows for both accurate diagno...

Designing all-pay auctions using deep learning and multi-agent simulation.

We propose a multi-agent learning approach for designing crowdsourcing contests and All-Pay auctions. Prizes in contests incentivise contestants to ex...

Prediction Model and Data Simulation of Sports Performance Based on the Artificial Intelligence Algorithm.

There is still a certain deviation between the current artificial intelligence technology and the traditional learning mode, which makes it unable to ...

Perception without preconception: comparison between the human and machine learner in recognition of tissues from histological sections.

Deep neural networks (DNNs) have shown success in image classification, with high accuracy in recognition of everyday objects. Performance of DNNs has...

Deep Learning of Subject Context in Ideological and Political Class Based on Recursive Neural Network.

Ideological and political education is the most important way to cultivate students' humanistic qualities, which can directly determine the developmen...

Development of deep learning-assisted overscan decision algorithm in low-dose chest CT: Application to lung cancer screening in Korean National CT accreditation program.

We propose a deep learning-assisted overscan decision algorithm in chest low-dose computed tomography (LDCT) applicable to the lung cancer screening. ...

Evaluation of Multimedia Courseware-Assisted Teaching Effect of Medical Images Based on the Deep Learning Algorithm.

In order to improve the dynamic evaluation ability of medical image multimedia courseware-assisted teaching effect, the evaluation of medical image mu...

A Deep Learning-Based TE Method for MSs' Mental Health Analysis.

Teaching evaluation (TE) is of great significance in education and can judge the value and appropriateness of the curriculum, which is a distinguished...

Modeling, Simulation and Implementation of All Terrain Adaptive Five DOF Robot.

The ability of an off-road robot to traverse obstacles determines whether the robot can complete complex environmental tasks. In order to improve the ...

Physical education movement and comprehensive health quality intervention under the background of artificial intelligence.

The application of artificial intelligence has realized the transformation of people's production and lifestyle, and also promoted the progress of phy...

Optimization of Residential Landscape Design and Supply Chain System Using Intelligent Fuzzy Cognitive Map and Genetic Algorithm.

This work intends to optimize residential landscape design and Supply Chain (SC) network systems. First, Fuzzy Cognitive Map (FCM) intelligent assista...

Medical Data Classification Assisted by Machine Learning Strategy.

With the development of science and technology, data plays an increasingly important role in our daily life. Therefore, much attention has been paid t...

Distributed Intelligent Learning and Decision Model Based on Logic Predictive Control.

By the method of documentation and logical analysis, based on the data, based on logic and based on the knowledge of three kinds of artificial intelli...

Adaptive Biological Neural Network Control and Virtual Realization for Engineering Manipulator.

By analyzing the feasibility of the digital twin technology in the assembly of construction machinery, the assembly process of the construction manipu...

Targeting the Future: Developing a Training Curriculum for Robotic Assisted Neurosurgery.

OBJECTIVE: Technological advances have significantly fostered the use of robotics in neurosurgery. Due to their novelty, there is a need to develop tr...

Robot-assisted versus laparoscopic short- and long-term outcomes in complete mesocolic excision for right-sided colonic cancer: a systematic review and meta-analysis.

BACKGROUND: Complete mesocolic excision (CME) surgery is increasingly implemented for the resection of right-sided colonic cancer, possibly resulting ...

Robotic simulation: validation and qualitative assessment of a general surgery resident training curriculum.

BACKGROUND: The da Vinci skills simulation curriculum has been validated in the literature. The updated simulator, SimNow, features restructured exerc...

Deep Learning Algorithm for Online College Physical Education Teaching with Flipping Classroom.

In view of the inability to accurately analyze the application of deep learning in college physical education teaching design from the perspective of ...

A Deep Learning Approach to Capture the Essence of Candida albicans Morphologies.

We present deep learning-based approaches for exploring the complex array of morphologies exhibited by the opportunistic human pathogen Candida albica...