Latest AI and machine learning research in intensivists for healthcare professionals.
False arrhythmia alarms pose a major threat to the quality of care in today's ICU. Thus, the PhysioN...
BACKGROUND: Many electronic infection detection systems employ dichotomous classification methods, c...
OBJECTIVES: Predictive analytics in emergency care has mostly been limited to the use of clinical de...
BACKGROUND: Advanced predictive analytical techniques are being increasingly applied to clinical ris...
Introduction. Acinetobacter calcoaceticus-baumannii complex (ACB complex) is a leading opportunistic...
In this paper, a novel L2-SVM based classifier Multi-view L2-SVM is proposed to address multi-view c...
OBJECTIVE: C1 inhibitor (C1INH) regulates not only the complement system but also the plasma kallikr...
AIMS: Iron deficiency (ID) is highly prevalent in patients with heart failure (HF) worldwide regardl...
PURPOSE: The Scandinavian Starch for Severe Sepsis/Septic Shock (6S) trial showed increased mortalit...
Electronic medical records (EMRs) are capturing increasing amounts of data per patient. For clinicia...
OBJECTIVE: Bacterial infections frequently cause prolonged intensive care unit (ICU) stays. Repeated...
BACKGROUND: Twenty-five to 40% of patients pass a spontaneous breathing trial (SBT) but fail to wean...
Left ventricular ejection fraction (LVEF) constitutes an important physiological parameter for the a...
Inspired by the intrinsic softness and the corresponding embodied intelligence principles, soft pneu...
BACKGROUND: Improved mortality prediction for patients in intensive care units is a big challenge. M...
Plasma procalcitonin (PCT) is a highly specific marker for the diagnosis of bacterial infection and ...
Objective: To develop, calibrate, and interpret machine learning models for predicting in-hospital m...
Introduction: Regulated cell death (RCD) pathways profoundly influence tumor progression and immune ...
Background: Multi-drug resistant Bacterial (MDRB) Infections in the intensive care units (ICUs) subs...
Early prediction of respiratory failure is critical for timely clinical intervention in intensive ca...
High-fidelity 3D Gaussian head avatar generation is critical for applications such as AR/VR, telepre...