Latest AI and machine learning research in critical care for healthcare professionals.
Named Entity Recognition (NER) is a natural language processing task for recognizing named entities ...
Maintenance hemodialysis is the main method for the treatment of end-stage renal disease in China. T...
Lung cancer is one of the most common and deadly malignant cancers. Accurate lung tumor segmentation...
Due to the non-uniform illumination conditions, images captured by sensors often suffer from uneven ...
INTRODUCTION: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia may necessitate...
Interictal epileptiform discharges (IEDs) are an important and widely accepted biomarker used in the...
Facial expression recognition (FER) in the wild received broad concerns in which occlusion and pose ...
Iodine-131 -iodobenzylguanidine (I-IBG) has been utilized as a standard treatment to minimize advers...
BACKGROUND: Mechanical ventilation in cirrhosis with acute respiratory distress syndrome (ARDS) is n...
The analysis of human body composition plays a critical role in health management and disease preven...
BACKGROUND: Lung region segmentation is an important stage of automated image-based approaches for t...
Endometrial cancer (EC) is the most common gynecological tumor in developed countries, and preoperat...
Multi-omics data are good resources for prognosis and survival prediction; however, these are diffic...
Contactless or non-invasive technology has a significant impact on healthcare applications such as t...
Depression is a severe psychological condition that affects millions of people worldwide. As depress...
Whole slide histopathology images (WSIs) play a crucial role in diagnosing lymph node metastasis of ...
The large intra-class variance and small inter-class variance are the key factor affecting fine-grai...
Robot assisted minimally invasive esophagectomy (RAMIE) has evolved over the past decade to become p...
Most indoor environments have wheelchair adaptations or ramps, providing an opportunity for mobile r...
The prediction of outcomes is a critical part of the clinical surveillance for hospitalized patients...
PURPOSE: Comparison of deep learning algorithm, radiomics and subjective assessment of chest CT for ...