Latest AI and machine learning research in intensivists for healthcare professionals.
BACKGROUND: Accurate patient outcome prediction in the intensive care unit (ICU) can potentially lea...
In cloud computing (CC), task scheduling allocates the task to best suitable resource for execution....
Automated segmentation algorithms for dermoscopic images serve as effective tools that assist dermat...
In this paper, finite-time cluster synchronization (FTCS) of multi-weighted fractional-order neural ...
PROBLEM: Sepsis, a life-threatening condition, accounts for the deaths of millions of people worldwi...
Novel artificial intelligence methods can aide in identification of cases of conditions using only u...
BACKGROUND: Acute respiratory distress syndrome (ARDS) after cardiac surgery is a severe respiratory...
Sepsis triggers a harmful immune response due to infection, causing high mortality. Predicting sepsi...
The causes of traffic violations by elderly drivers are different from those of other age groups. To...
Machine learning (ML) tools for acute respiratory distress syndrome (ARDS) detection and prediction ...
Clinical studies investigating the benefits of beta-lactam therapeutic drug monitoring (TDM) among c...
BACKGROUND: There is a growing demand for advanced methods to improve the understanding and predicti...
BACKGROUND: Invasive Escherichia coli disease (IED), also known as invasive extraintestinal pathogen...
Smart healthcare has emerged to provide healthcare services using data analysis techniques. Especial...
Multimodal learning is widely used in automated early diagnosis of Alzheimer's disease. However, the...
BACKGROUND: As generative artificial intelligence (GenAI) tools continue advancing, rigorous evaluat...
Due to the increasing severity of aging populations in modern society, the accurate and timely ident...
Brain age (BA) is defined as a measure of brain maturity and could help characterize both the typica...
Integrating multi-omics data into predictive models has the potential to enhance accuracy, which is ...
. Convolutional neural network (CNN) is developing rapidly in the field of medical image registratio...
Acute respiratory distress syndrome (ARDS) is a devastating critical care syndrome with significant ...