Latest AI and machine learning research in critical care for healthcare professionals.
OBJECTIVE: To derive and validate a multivariate risk score for the prediction of respiratory failur...
The COVID-19 pandemic has been spreading worldwide since December 2019, presenting an urgent threat ...
As an effective way of routine prenatal diagnosis, ultrasound (US) imaging has been widely used rece...
It is challenging for endoscopists to accurately detect esophageal lesions during gastrointestinal e...
Heart rate variability (HRV) is a mean to evaluate cardiac effects of autonomic nervous system activ...
For now, Alzheimer's disease (AD) is incurable. But if it can be diagnosed early, the correct treatm...
Vibration-based damage detection in civil structures using data-driven methods requires sufficient v...
BACKGROUND: Elderly patients with sepsis have many comorbidities, and the clinical reaction is not o...
Despite hard sensors can be easily used in various condition monitoring of energy production process...
In this study, a novel deep learning-based methodology was investigated to predict breast cancer res...
Breast cancer is one of the most fatal diseases leading to the death of several women across the wor...
The sophistication of ship detection technology in remote sensing images is insufficient, the detect...
Recognizing multiple labels of an image is a practical yet challenging task, and remarkable progress...
Part-level representations are important for robust person re-identification (ReID), but in practice...
Breast Cancer comprises multiple subtypes implicated in prognosis. Existing stratification methods r...
The knowledge of phenotype-genotype associations is crucial for the understanding of disease mechani...
Elucidating the mechanisms of Compound-Protein Interactions (CPIs) plays an essential role in drug d...
This study was aimed at analyzing the diagnostic value of convolutional neural network models on acc...
The production and consumption of music in the contemporary era results in big data generation and c...
U-Net is the most cited and widely-used deep learning model for biomedical image segmentation. In th...
Pulmonary nodules are the main manifestation of early lung cancer. Therefore, accurate detection of ...