Latest AI and machine learning research in critical care for healthcare professionals.
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: Gastroparesis following complete mesocolic excision (CME) can precipitate a cascade of s...
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-task learning (MTL) is an inductive transfer mechanism designed to leverage useful information...
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...
OBJECTIVE: Rapid on-site evaluation (ROSE) of respiratory cytology specimens is a critical technique...
Temporal Multi-Modal Knowledge Graphs (TMMKGs) can be regarded as a synthesis of Temporal Knowledge ...
Kidney stone is a common urological disease in dogs and can lead to serious complications such as py...
The use of machine learning (ML) for cancer staging through medical image analysis has gained substa...
Reducing the dose of radiation in computed tomography (CT) is vital to decreasing secondary cancer r...
In multi-modal magnetic resonance imaging (MRI), the tasks of imputing or reconstructing the target ...
Deformable image registration is one of the essential processes in analyzing medical images. In part...
The interconnection between brain regions in neurological disease encodes vital information for the ...