Latest AI and machine learning research in medical education for healthcare professionals.
Under the background of the rapid development of the new generation of information technology, artificial neural networks (ANNs) have made some progress in the evaluation research of various courses in colleges and universities. However, there is little research on the application of ANNs in Ideological and Political Education (IPE) courses. Based on this, this work attempts to introduce the Backp...
Students are often encouraged to learn 'deeply' by abstracting generalizable principles from course content rather than memorizing details. So widespread is this perspective that Likert-style inventories are now routinely administered to students to quantify how much a given course or curriculum evokes deep learning. The predictive validity of these inventories, however, has been criticized based ...
In this study, the fuzzy comprehensive evaluation model is used to evaluate the characteristics of college students' entrepreneurial psychology, and a...
The development of precise teaching of civics with artificial intelligence not only is the realistic need of the development of the times and technolo...
A practical problem in supervised deep learning for medical image segmentation is the lack of labeled data which is expensive and time-consuming to ac...
Gait stability in exercise is an inevitable and vexing problem in mechanics, artificial intelligence, sports, and rehabilitation medicine research. Wi...
The application of artificial intelligence (AI) to healthcare has garnered significant enthusiasm in recent years. Despite the adoption of new analyti...
INTRODUCTION/BACKGROUND: The surgical residency model assumes that upon completion, a surgeon is ready to practice and grow independently. However, ma...
BACKGROUND: Artificial intelligence (AI) has affected our day-to-day in a great extent. Healthcare industry is one of the mainstream fields among thos...
The use of robotics is a growing area within the field of surgery, especially in orthopaedics. To date, there is no literature examining orthopaedic t...
With the development of modern industrialization, the rational planning of land resources, especially rural settlements (RSs), has become an important...
INTRODUCTION: It is estimated that around 50% of cancer patients require Radiotherapy (RT) at some point during their treatment, hence Therapeutic Rad...
Surgical skill evaluation while performing minimally invasive surgeries is a highly complex task. It is important to objectively assess an individual...
We look at the current state of ideological and political classroom teaching based on artificial intelligence and the Internet of Things. We also look...
With the advent of the era of artificial intelligence revolution, deep learning is undoubtedly injecting new vitality into machine translation technol...
Medical talent development has its own characteristics, which means that political-ideological education in medical colleges must establish a developm...
Since the transition of surgical robot systems into the medical field, physicians have had to develop new dexterity skills. The ideal learning enviro...
With the development of society, China pays more and more attention to cultural education. The teaching method of introducing ideological and politica...
This paper adopts the multimodal approach of human-computer collaboration to conduct an in-depth study and analysis of the practical teaching model of...
RATIONALE AND OBJECTIVES: Artificial intelligence (AI) holds enormous potential for improvements in patient care, efficiency, and innovation in pediat...