Latest AI and machine learning research in critical care for healthcare professionals.
Certifying robustness against external uncertainties throughout the control process to reduce the ri...
Neuroblastoma is a common malignant tumor in childhood that seriously endangers the health and lives...
It is evident that Acute Kidney Injury (AKI) is an independent risk factor for both the survival of ...
Cytoreductive surgery with hyperthermic intraperitoneal chemotherapy (CRS-HIPEC) has become standar...
To investigate the feasibility of non-invasively estimating the arterial partial pressure of carbon ...
BACKGROUND: Despite the widespread use of voriconazole in antifungal treatment, its high pharmacokin...
Two experiments evaluated the effects of an injectable trace mineral (ITM) solution at weaning on tr...
INTRODUCTION: Heparin-binding protein is an inflammatory factor with predictive value for sepsis and...
Neuroimaging techniques including functional magnetic resonance imaging (fMRI) and electroencephalog...
This study aimed to construct machine learning models and predict prolonged intensive care units (IC...
Prediction of drug toxicity remains a significant challenge and an essential process in drug discove...
Acute myocardial infarction (AMI) and sepsis are the leading causes of high mortality rates in inten...
Protein-ligand interactions are the molecular basis of many important cellular activities, such as g...
Within the domain of neurodevelopmental disorders, autism spectrum disorder (ASD) emerges as a disti...
The evolution of artificial intelligence (AI) has revolutionised numerous aspects of our daily lives...
CD4 T cells play a pivotal role in the immune system, particularly in adaptive immunity, by orchestr...
BACKGROUND: Predicting mortality in sepsis-related acute kidney injury facilitates early data-driven...
Multi-view clustering can better handle high-dimensional data by combining information from multiple...
Correctly diagnosing Alzheimer's disease (AD) and identifying pathogenic brain regions and genes pla...
Neural networks have significant advantages in the estimation of uncertainty dynamics, which can aff...
Spine segmentation poses significant challenges due to the complex anatomical structure of the spine...