Latest AI and machine learning research in covid-19 for healthcare professionals.
The early and highly accurate prediction of COVID-19 based on medical images can speed up the diagno...
Traditional tooth image analysis methods primarily focus on feature extraction from individual image...
Early diagnosis and screening of tumor markers are essential for effective cancer treatment and impr...
AIM: This study aims to assess the e-health literacy and foresights to global health challenges of n...
INTRODUCTION: The mortality rate among older people infected with severe acute respiratory syndrome ...
AIMS: The visualization of nucleic acid testing (NAT) results plays a critical role in diagnosing an...
Abdominal aortic aneurysm (AAA) represents a permanent and localized widening of the abdominal aort...
At present, multimodal medical image fusion technology has become an essential means for researchers...
BACKGROUND: Determining the status of breast cancer susceptibility genes () is crucial for guiding b...
The high binding affinity of antibodies toward their cognate targets is key to eliciting effective i...
PURPOSE: This work developed a novel preclinical test of total knee replacements (TKRs) in order to ...
Despite the urgent need for accurate and robust observations of microplastics in the marine environm...
Graph neural networks (GNNs) have revolutionized drug discovery in chemistry and biology, enhancing ...
Lung cancer (LC) is a significant global health issue, with smoking as the most common cause. Recent...
Multiple-island endemics (MIE) are considered ideal natural subjects to study patterns of island col...
BACKGROUND: Machine learning algorithms are essential for predicting severe outcomes during public h...
Characterization of breast parenchyma in dynamic contrast-enhanced magnetic resonance imaging (DCE-M...
MRI radiomics has been explored for three-tiered classification of HER2 expression levels (i.e., HE...
Medical image segmentation is a crucial component of computer-aided clinical diagnosis, with state-o...
The purpose of this study was to evaluate the performance of convolutional neural network (CNN)-base...
Atherosclerosis (AS) is a predominant etiological factor in numerous cardiovascular diseases, with i...