Latest AI and machine learning research in intensivists for healthcare professionals.
Cognitive impairment is a frequent complication of Parkinson's disease (PD), affecting up to half of...
BACKGROUND: Intensive care unit (ICU)-acquired weakness (ICUAW) is a prevalent complication in criti...
BACKGROUND: In the Intensive Care Unit (ICU), data stored in patient data management systems (PDMS) ...
BACKGROUND: Neonatal activity level is an important physiological parameter linked to lethargic resp...
PURPOSE: Contrast-enhanced magnetic resonance imaging (CE-MRI) monitoring across multiple time point...
Sepsis, a life-threatening disease caused by infection, presents a major global health challenge due...
Many deep learning methods have been proposed for brain tumor segmentation from multi-modal Magnetic...
Landslide susceptibility mapping has become an essential task to ensure economic and social sustaina...
Glaucoma is the leading cause of irreversible blindness worldwide. Currently, artificial intelligenc...
The emerging density in today's urban environments requires a strong multi-camera architecture for r...
OBJECTIVE: Many healthcare problems involve complex patient trajectories represented as Multivariate...
In multi-robot collaboration, individual failures can propagate to other robots due to the topologic...
To address the limitations of silicon-based devices in neuromorphic computing, this study proposes a...
BACKGROUND: Nosocomial infections are a major cause of morbidity and mortality in the ICU. Earlier i...
In the maritime industry, accurately detecting a ship's draft line is crucial for ensuring transacti...
The internet is one of the essential tools today, and its impact is particularly felt among universi...
OBJECTIVES: Predicting optimal coagulation control using heparin in intensive care units (ICUs) rema...
BACKGROUND AND OBJECTIVE: Despite advances in intensive care, sepsis remains a leading cause of mort...
Sepsis is an organ dysfunction caused by a deregulated immune response to an infection. Early sepsis...
Data-driven intelligent fault diagnosis methods have become essential for ensuring the reliability a...
Federated learning is a distributed machine learning framework that allows multiple parties to colla...