Latest AI and machine learning research in intensivists for healthcare professionals.
In the present scenario, cancerous tumours are common in humans due to major changes in nearby envir...
BACKGROUND: Ventilator-associated pneumonia (VAP) is a common nosocomial infection in ICU, significa...
How can we recommend items to users utilizing multiple types of user behavior data? Multi-behavior r...
This study introduces an innovative deep-learning model for cuffless blood pressure estimation using...
Currently, spatiotemporal convolutional neural networks (CNNs) for electroencephalogram (EEG) signal...
Domain adaptation has demonstrated success in classification of multi-center autism spectrum disorde...
Motor imagery (MI) decoding is the basis of external device control via electroencephalogram (EEG). ...
Recently, Electrooculography-based Human-Computer Interaction (EOG-HCI) technology has gained widesp...
To address the challenge of low recognition accuracy in transformer fault detection, a novel method ...
BACKGROUND: Recognition of emotion changes is of great significance to a person's physical and menta...
Accurate semantic segmentation of histopathological images plays a crucial role in accurate cancer d...
BACKGROUND: Machine learning (ML) is increasingly used to predict clinical deterioration in intensiv...
The study aimed to develop and validate a sepsis prediction model using structured electronic medica...
BACKGROUND: Disorders of consciousness (DoC) in non-traumatic ICU-patients are often treated with am...
BACKGROUND: Sepsis is a life-threatening disease associated with a high mortality rate, emphasizing ...
Sepsis remains a leading cause of morbidity and mortality worldwide due to its rapid progression and...
Smoke is a critical indicator of forest fires, often detectable before flames ignite. Accurate smoke...
Research on video-based understanding and learning has attracted widespread interest and has been ad...
Multi-view clustering has garnered significant attention due to its capacity to utilize information ...
BACKGROUND: Fluid overload (FO) in the intensive care unit (ICU) is common, serious, and may be prev...
Temporal Multi-Modal Knowledge Graphs (TMMKGs) can be regarded as a synthesis of Temporal Knowledge ...