Latest AI and machine learning research in health policy for healthcare professionals.
Under the background of the Internet of things (IoT), the problems between the actual production and...
This paper is devoted to event-triggered non-fragile cost-guaranteed synchronization control for tim...
The majority of what is needed to maintain life is found in the approximately 70 percent of the eart...
OBJECTIVE: This study aimed to investigate whether a deep learning reconstruction (DLR) method impro...
PURPOSE: Fat-suppressed T2-weighted imaging (T2-FS) requires a long scan time and can be wrought wit...
With the advancements in data mining, wearables, and cloud computing, online disease diagnosis servi...
OBJECTIVES: To compare the image quality and diagnostic performance of conventional motion-corrected...
High-frame-rate ultrasound imaging uses unfocused transmissions to insonify an entire imaging view f...
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...