Latest AI and machine learning research in medical education for healthcare professionals.
The uptake of robotic surgery is rapidly increasing worldwide across surgical specialties. However, there is currently a much higher use of robotic surgery in the United States of America (USA) compared to the United Kingdom (UK) and Ireland. Reduced exposure to robotic surgery in training may lead to longer learning curves and worse patient outcomes. We aimed to identify whether any difference ex...
In recent times, a large number of medical images are generated, due to the evolution of digital imaging modalities and computer vision application. Due to variation in the shape and size of the images, the retrieval task becomes more tedious in the large medical databases. So, it is essential in designing an effective automated system for medical image retrieval. In this research study, the input...
In this paper, we conduct in-depth research and analysis by building an IoT data-driven intelligent law classroom teaching system and implementing it ...
The aim of this study is to build machine learning models to predict severe complications using administrative and clinical elements that are collecte...
Deep learning technology has recently played an important role in image, language processing, and feature extraction. In the past disease diagnosis, m...
Robust estimation of exposure response analysis relies on correct specification of the model structure with traditional parametric approach. However, ...
We are in the middle of a digital revolution in medicine. This raises the question of whether subjects such as radiology, which is superficially conce...
Hyperelastic constitutive laws have been commonly used to model the passive behavior of the human skeletal muscle. Despite many efforts, the use of ac...
BACKGROUND: The annual number of robotic surgical procedures is on the rise. Robotic surgery requires unique skills compared to other surgical approac...
PURPOSE: To update the 2011 ESTRO-EFOMP core curriculum (CC) for education and training of medical physics experts (MPE)s working in radiotherapy (RT)...
The emergence of intelligent technology has brought a particular impact and allows for virtuality-reality interaction in the educational field. In par...
This exploration aims at solving multiple teaching problems in piano online education course. On the premise of collaborative filtering, the K-means c...
Embolization is the prevailing therapy for tumor-targeting, anti-organ hyperfunction, and hemostasis. However, the injection of embolic agents largely...
With the rapid development and application of deep learning medical image recognition, natural language processing, and other fields, at the same time...
Sports dance is a new form of sports that integrates sports, dance, music, and other elements. The core content of "dance" is an important carrier for...
The health status and cognition of undergraduates, especially the scientific concept of healthcare, are particularly important for the overall develop...
Meta-learning has been proposed as a framework to address the challenging few-shot learning setting. The key idea is to leverage a large number of sim...
The lack of interest of children at school is one of the biggest problems that Mexican education faces. Two important factors causing this lack of int...
To improve the teaching effect of western music history, the curriculum reform of history education needs to be promoted under the background of the I...
This study sought to develop basic robotic surgical skills among surgical trainees across multiple specialties using a VR-based curriculum and provide...