Latest AI and machine learning research in surveys for healthcare professionals.
Medical training simulators can provide a safe and controlled environment for medical students to pr...
We show that using a recent break-through in artificial intelligence -transformers-, psychological a...
When training samples are scarce, the semantic embedding technique, i. e., describing class labels w...
Estimating depth from RGB images is a long-standing ill-posed problem, which has been explored for d...
This study aims to explore new educational strategies suitable for the mental health education of co...
Advances in technology have been able to affect all aspects of human life. For example, the use of t...
COVID-19 has evolved into one of the most severe and acute illnesses. The number of deaths continues...
BACKGROUND: Automated catheter localization for ultrasound guided high-dose-rate prostate brachyther...
INTRODUCTION: Gender bias has been identified consistently in written performance evaluations. Quali...
The study of human-machine interaction as a unique control system was one of the first research inte...
With the improvement of people's income levels in recent years, people have gradually begun to pay m...
During the coronavirus disease pandemic (COVID-19), social media platforms such as Twitter have beco...
Unhealthy alcohol use represents a major economic burden and cause of morbidity and mortality in the...
Machine learning techniques used in computer-aided medical image analysis usually suffer from the do...
This study aims to arouse students' interest in physical education (PE) in response to President Xi ...
The surgical pathology workflow currently adopted by clinics uses staining to reveal tissue architec...
The emergence of intelligent technology has brought a particular impact and allows for virtuality-re...
Researchers, governments, ethics watchdogs, and the public are increasingly voicing concerns about u...
In order to develop a gripping system or control strategy that improves scientific sampling procedur...
Transfer learning is a pervasive technology in computer vision and natural language processing field...
The problems of low reliability and the high fitting degree of mutual information feature extraction...