Latest AI and machine learning research in health policy for healthcare professionals.
The digitization of thought theory is not yet sufficient to meet the needs of the students. It is ve...
INTRODUCTION: Deep learning-based MRI reconstruction has recently been introduced to improve image q...
The economic growth in the new normal is no longer limited to the total amount and scale of economic...
With the worldwide digitalisation of medical records, electronic health records (EHRs) have become a...
Teaching quality evaluation is one of the most commonly used educational evaluation methods, which i...
INTRODUCTION: Chemotherapy drug wasting is a huge problem in oncology that not only results in exces...
UNLABELLED: This research aimed to evaluate Mask R-CNN and U-Net convolutional neural network models...
BACKGROUND: Each year, millions of Americans receive evidence-based psychotherapies (EBPs) like cogn...
In the era of knowledge economy, human resources are being valued by various countries and regions. ...
The quality of synthesized images directly affects the practical application of virtual view synthes...
Ransomware attacks pose a serious threat to Internet resources due to their far-reaching effects. It...
This paper presents an integrated and scalable precision health service for health promotion and chr...
OBJECTIVES: To investigate the effect of deep learning image reconstruction (DLIR) on the accuracy o...
The application of artificial intelligence has realized the transformation of people's production an...
Artificial intelligence technology has become an important part of the development of Internet techn...
According to the traditional data mining method, it is no longer applicable to obtain knowledge from...
With the development of information technology, teaching reform has also undergone major changes. Th...
Robot-assisted thoracic surgery (RATS) is a rapidly evolving surgical technique in Europe. The aim o...
In the quality evaluation of public sports training, the selected indicators are not comprehensive, ...
Designing effective architectures is one of the key factors behind the success of deep neural networ...
A large component of the Health Information Systems now comprises numerous independent apps created ...