Latest AI and machine learning research in intensivists for healthcare professionals.
BACKGROUND: Spirometry remains the gold standard for assessing pulmonary function. Deep learning mod...
BACKGROUND: Early detection of sepsis in pediatric intensive care units (PICUs) is critical, but cha...
OBJECTIVE: Acute kidney injury (AKI) is a severe complication following coronary artery bypass graft...
BACKGROUND: Accurate preoperative risk stratification remains challenging, as existing scoring syste...
Two-dimensional (2D) materials, with their multi-stimulus responsiveness and excellent electrical/me...
The practical application of flexible sensors is often constrained by limited mechanical properties ...
PURPOSE: While acute brain dysfunction (ABD, i.e., delirium and coma) is associated with significant...
BACKGROUND: Rheumatoid arthritis patients in the ICU face a high risk of mortality. While traditiona...
BACKGROUND: Sepsis-induced ARDS demonstrated greater severity and higher mortality compared to ARDS ...
The aim of this study is to develop and validate a machine learning-based predictive model to assess...
BACKGROUND: Acute respiratory distress syndrome (ARDS) is a severe complication after traumatic brai...
Sepsis is a high-burden, highly heterogeneous clinical challenge that affects up to 30% of ICU patie...
OBJECTIVE: Patients with severe acute pancreatitis (AP) carry a high mortality risk. The lactate-to-...
Early identification of ICU patients at high mortality risk is essential for triage and timely inter...
Predicting the outcome of comatose patients in the intensive care unit (ICU) can inform decision mak...
BACKGROUND: Sepsis remains the leading cause of in-hospital deaths among children, and there is curr...
OBJECTIVES: To operationalize and temporally validate an electronic medical record (EMR)-integrated ...
BACKGROUND: Malnutrition in critically ill patients is associated with increased morbidity and morta...
BACKGROUND: The pathological heterogeneity of sepsis makes it challenging for traditional scoring sy...
OBJECTIVE: Given the high alignment between deep learning and blended teaching objectives, blended t...
Environmental exposure to synthetic chemicals has been associated with cardiovascular risk, yet mech...