Latest AI and machine learning research in critical care for healthcare professionals.
Drug induced liver toxicity remains the most common cause of acute liver failure. Conventional toxic...
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...
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...
CRISPR/Cas systems hold great promise for molecular diagnostics, but their amplification-free applic...
BACKGROUND: Elexacaftor-Tezacaftor-Ivacaftor (ETI) therapy markedly improves pulmonary function in p...
BACKGROUND: Sepsis-induced ARDS demonstrated greater severity and higher mortality compared to ARDS ...
A common neurological symptom in dialysis patients is hemodialysis-related headache (HRH), which can...
Prognostic assessment of diabetic kidney disease (DKD) is essential for personalized management. Thi...
BACKGROUND: Acute respiratory distress syndrome (ARDS) is a severe complication after traumatic brai...
PURPOSE: To develop and validate a machine learning (ML)‑based model for predicting malnutrition ris...
PURPOSE: Hearing loss is a common work-related condition. Estimates suggest that 46%-86% of agricult...
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...
BACKGROUND: Congenital heart disease (CHD), one of the most common birth defects, poses challenges t...
BACKGROUND: Symptom burden in chronic kidney disease (CKD) patients has a negative impact on functio...
BACKGROUND: In an attempt to overcome the space-time limitations of traditional training we used a n...
Predicting the outcome of comatose patients in the intensive care unit (ICU) can inform decision mak...