Latest AI and machine learning research in critical care for healthcare professionals.
BACKGROUND AND OBJECTIVE: Sepsis-induced pathophysiological changes may lead to pharmacokinetic vari...
Acute respiratory distress syndrome (ARDS) is a heterogeneous clinical syndrome characterized by var...
OBJECTIVE: To compare the performance of predictive models for cardiovascular event (CVE) in patient...
INTRODUCTION: Sepsis is a life-threatening condition characterized by widespread inflammatory respon...
With the rapid advancement of medical informatics, the accumulation of electronic medical records an...
To address the problem of obtaining optimal design parameters for existing artificial detrusors usin...
In the growing domain of scientific machine learning, in-context operator learning has shown notable...
BACKGROUND: We aimed to identify risk factors for initial seizure episodes in ICU patients using var...
BACKGROUND: Acute respiratory distress syndrome (ARDS) is a severe complication associated with a hi...
Accurate and timely access to the spatial distribution of crops is crucial for sustainable agricultu...
We hypothesized that incorporating postnatal dynamic factors would enhance the prediction accuracy o...
Enhancing early selection through genomic estimated breeding values is pivotal for reducing generati...
Denial of Wallet (DoW) attacks are a cyber threat designed to utilize and deplete an organization's ...
Capturing rich multi-scale features is essential to address complex variations in medical image segm...
Sepsis related acute respiratory distress syndrome (ARDS) is a common and serious disease in clinic....
The global COVID-19 pandemic has drastically affected daily life, emphasizing the urgent need for ea...
BACKGROUND: Sepsis associated encephalopathy (SAE) is prevalent among elderly patients in the ICU an...
Effective isolation of bacterial pathogens for bovine respiratory disease (BRD) is a critical step f...
BACKGROUND: Methods that enable early outbreak detection represent powerful tools in epidemiological...
It is challenging to identify regulatory transcriptional regulators (TRs), which control gene expres...
Multi-stage methods have been proven effective and widely used in image deblurring research. These m...