Latest AI and machine learning research in critical care for healthcare professionals.
Currently, intelligent systems built on a multimodal basis are used to study the functional state of...
Sepsis is an inflammation caused by the body's systemic response to an infection. The infection coul...
BACKGROUND: Hepatic steatosis (HS) identified on CT may provide an integrated cardiometabolic and CO...
OBJECTIVE: While clinical Artificial Intelligence (cAI) mortality prediction models and relevant stu...
The basic identification and classification of sedimentary rocks into sandstone and mudstone are imp...
BACKGROUND: Early prediction of patients' deterioration is helpful in early intervention for patient...
OBJECTIVE: COVID-19 patients with rheumatic disease have a higher risk of mechanical ventilation tha...
BACKGROUND: In this work, we developed many machine learning classifiers to assist in diagnosing res...
BACKGROUND: Myocardial pathology segmentation plays an utmost role in the diagnosis and treatment of...
Identification of novel non-invasive biomarkers is critical for the early diagnosis of lung adenocar...
For accurate respiration gated radiation therapy, compensation for the beam latency of the beam cont...
Semi-supervised learning has a great potential in medical image segmentation tasks with a few labele...
The technique for target detection based on a convolutional neural network has been widely implement...
Graph neural networks (GNNs) have achieved remarkable performance in personalized recommendation, fo...
With the rapid growth of railways in China, the focus has changed to the maintenance of large-scale ...
OBJECTIVES: To use deep learning of serial portable chest X-ray (pCXR) and clinical variables to pre...
BACKGROUND: Accurate precision approaches have far not been developed for modeling mortality risk in...
Convolutional neural networks (CNN), especially numerous U-shaped models, have achieved great progre...
It is difficult for traditional signal-recognition methods to effectively classify and identify mult...
The current proliferation of mobile robots spans ecological monitoring, warehouse management and ext...
Multi-hop path reasoning over knowledge base aims at finding answer entities for an input question b...