Public Health & Policy

Medical Education

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

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Application of machine learning based methods in exposure-response analysis.

Robust estimation of exposure response analysis relies on correct specification of the model structu...

[Artificial intelligence (AI) in radiology? : Do we need as many radiologists in the future?].

We are in the middle of a digital revolution in medicine. This raises the question of whether subjec...

Recurrent neural network to predict hyperelastic constitutive behaviors of the skeletal muscle.

Hyperelastic constitutive laws have been commonly used to model the passive behavior of the human sk...

Feasibility, effectiveness and transferability of a novel mastery-based virtual reality robotic training platform for general surgery residents.

BACKGROUND: The annual number of robotic surgical procedures is on the rise. Robotic surgery require...

State of the Art Causal Inference in the Presence of Extraneous Covariates: A Simulation Study.

The central task of causal inference is to remove (via statistical adjustment) confounding bias that...

The 3 ESTRO-EFOMP core curriculum for medical physics experts in radiotherapy.

PURPOSE: To update the 2011 ESTRO-EFOMP core curriculum (CC) for education and training of medical p...

Exploring Multiple Application Scenarios of Visual Communication Course Using Deep Learning Under the Digital Twins.

The emergence of intelligent technology has brought a particular impact and allows for virtuality-re...

The Construction of Online Course Learning Model of Piano Education from the Perspective of Deep Learning.

This exploration aims at solving multiple teaching problems in piano online education course. On the...

Modeling of the dynamics of vascular embolization by using porous media for the design of injection robots of embolic agents.

Embolization is the prevailing therapy for tumor-targeting, anti-organ hyperfunction, and hemostasis...

Automatic Arrangement of Sports Dance Movement Based on Deep Learning.

Sports dance is a new form of sports that integrates sports, dance, music, and other elements. The c...

AI-Based Publicity Strategies for Medical Colleges: A Case Study of Healthcare Analysis.

The health status and cognition of undergraduates, especially the scientific concept of healthcare, ...

Meta-Transfer Learning Through Hard Tasks.

Meta-learning has been proposed as a framework to address the challenging few-shot learning setting....

Granger causality test with nonlinear neural-network-based methods: Python package and simulation study.

BACKGROUND AND OBJECTIVE: Causality defined by Granger in 1969 is a widely used concept, particularl...

Use of Robotic Platforms as a Tool to Support STEM and Physical Education in Developed Countries: A Descriptive Analysis.

The lack of interest of children at school is one of the biggest problems that Mexican education fac...

A simulation study to investigate the use of concentric tube robots for epilepsy surgery.

PURPOSE: Patients with pharmacoresistant refractory epilepsy may require epilepsy surgery to prevent...

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 ...

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

BACKGROUND: Even though robot-assisted operations have evolved to a standard procedure in surgery, t...

Review on generic methods for mechanical modeling, simulation and control of soft robots.

In this review paper, we are interested in the models and algorithms that allow generic simulation a...

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