Public Health & Policy

Medical Education

Latest AI and machine learning research in medical education for healthcare professionals.

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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). B...

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 ...

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 g...

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...

Methods for numerical simulation of knit based morphable structures: knitmorphs.

Shape morphing behavior has applications in many fields such as soft robotics, actuators and sensors...

Simulation and Artificial Intelligence in Rhinoplasty: A Systematic Review.

BACKGROUND: Rhinoplasty is one of the most popular cosmetic procedures. The complexity of the nasal ...

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 benefit...

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 s...

Can a computer "learn" nonlinear chromatography?: Physics-based deep neural networks for simulation and optimization of chromatographic processes.

The design and optimization of chromatographic processes is essential for enabling efficient separat...

The Atlantic divide: contrasting surgical robotics training in the USA, UK and Ireland.

The uptake of robotic surgery is rapidly increasing worldwide across surgical specialties. However, ...

Large scale simulation of labeled intraoperative scenes in unity.

PURPOSE: The use of synthetic or simulated data has the potential to greatly improve the availabilit...

Using Artificial Neuro-Molecular System in Robotic Arm Motion Control-Taking Simulation of Rehabilitation as an Example.

Under the delicate control of the brain, people can perform graceful movements through the coordinat...

A new person-fit method based on machine learning in CDM in education.

Cognitive diagnosis models have become popular in educational assessment and are used to provide mor...

Effective CBMIR System Using Hybrid Features-Based Independent Condensed Nearest Neighbor Model.

In recent times, a large number of medical images are generated, due to the evolution of digital ima...

Design and Implementation of IoT Data-Driven Intelligent Law Classroom Teaching System.

In this paper, we conduct in-depth research and analysis by building an IoT data-driven intelligent ...

Use of In-Situ Simulation Based Clinical Systems Test of Thoracic Robotic Surgery Emergencies.

INTRODUCTION: With the advancement of robotic surgery, some thoracic surgeons have been slow to adop...

Early identification of ICU patients at risk of complications: Regularization based on robustness and stability of explanations.

The aim of this study is to build machine learning models to predict severe complications using admi...

Artificial Intelligence-Enabled Medical Analysis for Intracranial Cerebral Hemorrhage Detection and Classification.

Intracranial hemorrhage (ICH) becomes a crucial healthcare emergency, which requires earlier detecti...

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