Latest AI and machine learning research in medical education for healthcare professionals.
BACKGROUND: Even though robot-assisted operations have evolved to a standard procedure in surgery, they are underrepresented in the curriculum of current medical students.
Many everyday activities are sequential in nature. That is, they can be seen as a sequence of subactions and sometimes subgoals. In the motor execution of sequential action, context effects are observed in which later subactions modulate the execution of earlier subactions (e.g., reaching for an overturned mug, people will optimize their grasp to achieve a comfortable end state). A trajectory (mov...
Medical imaging datasets usually exhibit domain shift due to the variations of scanner vendors, imaging protocols, etc. This raises the concern about ...
With the development of three-dimensional (3D) simulation software, preoperative simulation technology is almost completely established. The remaining...
Physics-based analyses have the potential to consolidate and substantiate medical diagnoses in rhinology. Such methods are frequently subject to inten...
Ever-increasing demands for freshwater resources have elevated the likelihood of severe water stress in several places of Saudi Arabia during the last...
The traditional BP neural network has the disadvantages of easy falling into local minimum and slow convergence speed. Aiming at the shortcomings of B...
Deep learning is one of the most promising machine learning techniques that revolutionalized the artificial intelligence field. The known traditional ...
For gaining proficiency in physical human-robot interactions, it is crucial for engineering students to be provided with the opportunity to gain hands...
Aiming at the problems existing in the traditional teaching mode, this paper intelligently optimizes English teaching courses by using multidirectiona...
STUDY OBJECTIVE: Both simulator practice and intraoperative performance serve to inform surgical trainee training, but the skill transfer from simulat...
Stochastic models of biomolecular reaction networks are commonly employed in systems and synthetic biology to study the effects of stochastic fluctuat...
Artificial intelligence (AI) is a new technical discipline that uses computer technology to research and develop the theory, method, technique, and ap...
In 2018, general surgery topped the number of robotic cases. Over 90% of residents participate, but only 65% of programs have a formal curriculum, and...
Reinforcement learning (RL) is a booming area in artificial intelligence. The applications of RL are endless nowadays, ranging from fields such as med...
Higher education plays an important role in the improvement of people's quality and the development of our country. Therefore, it is necessary to eval...
The COVID-19 pandemic has infected over 250 million people worldwide and killed more than 5 million as of November 2021. Many intervention strategies ...
With the development of technology, speed prediction has become an important part of intelligent vehicle control strategies. However, the time-varying...
Skid-steered vehicles (SSV) are gaining huge importance in the market due to their applications like construction, agricultural work, material handlin...
Simulation training provides a safe, non-judgmental environment where members of the multi-professional team can practice both their technical and non...