Latest AI and machine learning research in medical education for healthcare professionals.
The study aims to explore the online teaching design of ideological and political education (IPE). B...
Complete mesocolic excision (CME) in right-sided colon cancers appears to confer oncological benefit...
Acrobots are a system that has levels of operating states in many investigated cases, and they are s...
In recent times, a large number of medical images are generated, due to the evolution of digital ima...
The aim of this study is to build machine learning models to predict severe complications using admi...
We are in the middle of a digital revolution in medicine. This raises the question of whether subjec...
BACKGROUND: The annual number of robotic surgical procedures is on the rise. Robotic surgery require...
PURPOSE: To update the 2011 ESTRO-EFOMP core curriculum (CC) for education and training of medical p...
This exploration aims at solving multiple teaching problems in piano online education course. On the...
The health status and cognition of undergraduates, especially the scientific concept of healthcare, ...
The lack of interest of children at school is one of the biggest problems that Mexican education fac...
To improve the teaching effect of western music history, the curriculum reform of history education ...
This study sought to develop basic robotic surgical skills among surgical trainees across multiple s...
BACKGROUND: Even though robot-assisted operations have evolved to a standard procedure in surgery, t...
Many everyday activities are sequential in nature. That is, they can be seen as a sequence of subact...
With the development of three-dimensional (3D) simulation software, preoperative simulation technolo...
Physics-based analyses have the potential to consolidate and substantiate medical diagnoses in rhino...
Ever-increasing demands for freshwater resources have elevated the likelihood of severe water stress...
Deep learning is one of the most promising machine learning techniques that revolutionalized the art...
Aiming at the problems existing in the traditional teaching mode, this paper intelligently optimizes...
Stochastic models of biomolecular reaction networks are commonly employed in systems and synthetic b...