Latest AI and machine learning research in intensivists for healthcare professionals.
BACKGROUND: Prolonged dependence on mechanical ventilation is a common occurrence in clinical ICU pa...
Sepsis-associated encephalopathy (SAE) is common in septic patients, characterized by acute and long...
Cytoreductive surgery with hyperthermic intraperitoneal chemotherapy (CRS-HIPEC) has become standar...
It is evident that Acute Kidney Injury (AKI) is an independent risk factor for both the survival of ...
BACKGROUND: Despite the widespread use of voriconazole in antifungal treatment, its high pharmacokin...
INTRODUCTION: Heparin-binding protein is an inflammatory factor with predictive value for sepsis and...
This study aimed to construct machine learning models and predict prolonged intensive care units (IC...
Acute myocardial infarction (AMI) and sepsis are the leading causes of high mortality rates in inten...
BACKGROUND: Artificial intelligence (AI) has been widely adopted for the prediction of latent shock ...
BACKGROUND: Predicting mortality in sepsis-related acute kidney injury facilitates early data-driven...
BACKGROUND: ICU-acquired weakness (ICU-AW) is a common complication among ICU patients. We used mach...
This study examined the characteristics of the broad model (KBP) through a complete open-loop evalua...
BACKGROUND: The incidence and mortality of first-ever strokes have risen sharply, especially in the ...
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, ...
Inching-locomotion caterpillars (ILAR) inspire the design of 'inch-worm' robots with biomimicry feat...
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...