Latest AI and machine learning research in critical care for healthcare professionals.
BACKGROUND: Delirium remains one of the most consequential complications among critically ill patien...
Electronic medical records (EMR) have transformed how clinical information is documented, shared, an...
BACKGROUND: We aimed to determine whether unsupervised machine learning was able to discover latent ...
OBJECTIVE: This study aims to develop and validate interpretable machine learning (ML) models to dyn...
BACKGROUND: Takotsubo syndrome (TTS) and sepsis often co-occur with poor outcomes, yet their underly...
Sepsis remains a leading cause of morbidity and mortality, yet routine diagnostics are slow, culture...
MRI of the heart and abdominal organs provides unparalleled soft tissue contrast and quantitative bi...
OBJECTIVE: This study aimed to create and validate a machine learning (ML) model to predict the like...
BACKGROUND: Circulatory disturbances in sepsis are heterogeneous but may manifest as a mismatch betw...
BackgroundWhile machine learning (ML) models are increasingly used to predict outcomes in health car...
This study evaluates the effectiveness of large language models (LLMs), specifically Claude Sonnet 4...
Cardiovascular and chronic disease prevention remains limited by episodic, clinic-based assessments ...
OBJECTIVES: The clinical relevance of computed tomography (CT)-based airway tree structure is unclea...
Acute Kidney Injury (AKI) is a major health concern with high costs and poor outcomes, partly due to...
Self-diagnosis-the capacity of a system to detect and correct its own failures-is a defining propert...
Sepsis-associated encephalopathy (SAE) is a common and serious complication of sepsis that leads to ...
BACKGROUND: Predictive modeling has the potential to improve preoperative planning and resource allo...
Whole Slide Imaging (WSI) plays a crucial role in predicting immune scores by providing detailed cel...
It is well known that porcine reproductive and respiratory syndrome (PRRS) decreases herd productivi...
OBJECTIVE: To develop and validate a machine learning model for postoperative sepsis in critically i...
BACKGROUND AND OBJECTIVE: Patient-ventilator asynchrony (PVA) is prevalent in mechanically ventilate...