Latest AI and machine learning research in critical care for healthcare professionals.
CD4 T cells play a pivotal role in the immune system, particularly in adaptive immunity, by orchestr...
BACKGROUND: Predicting mortality in sepsis-related acute kidney injury facilitates early data-driven...
INTRODUCTION: As surgical accessibility improves, the incidence of postoperative complications is ex...
BACKGROUND: ICU-acquired weakness (ICU-AW) is a common complication among ICU patients. We used mach...
BACKGROUND: Blood transfusion (BT) is a critical aspect of medical care for surgical patients in the...
BACKGROUND: The incidence and mortality of first-ever strokes have risen sharply, especially in the ...
Nocturnal hypoglycemia is a critical problem faced by diabetic patients. Failure to intervene in tim...
In 2019, COVID-19 began one of the greatest public health challenges in history, reaching pandemic s...
Spontaneous hepatic rupture is a rare complication that occurs in pregnant mothers with HELLP syndr...
BACKGROUND: The incidence, mortality, and readmission rates for acute heart failure (AHF) are high, ...
[This corrects the article DOI: 10.3389/fphar.2023.1106339.].
INTRODUCTION: In sepsis treatment, achieving and maintaining effective antibiotic therapy is crucial...
INTRODUCTION: Heart failure is a leading global cause of mortality, with ischemic heart failure (IHF...
Patients with positive blood cultures in the intensive care unit (ICU) are at high risk for septic a...
Multi-omics data integration has become increasingly crucial for a deeper understanding of the compl...
INTRODUCTION: Machine learning (ML) has been tried in predicting outcomes following sepsis. This stu...
BACKGROUND: The timely identification and transfer of critically ill patients from the emergency dep...
The detection of infrared small targets is getting more and more attention, and has a wider applicat...
BACKGROUND: Acinetobacter baumanni infection is a leading cause of morbidity and mortality in the In...
Cancer, a global health threat, demands effective diagnostic solutions to combat its impact on publi...
Multi-modality imaging is widely used in clinical practice and biomedical research to gain a compreh...