Latest AI and machine learning research in intensivists for healthcare professionals.
Background: We previously published a literature based pipeline for sepsis gene prioritization (PS3 ...
Sepsis remains one of the leading causes of mortality in intensive care units, where timely and accu...
Introduction: Reliable estimation of mortality among critically ill patients is crucial for guiding ...
This study introduces an uncertainty-aware AI-driven optimization framework for designing sustainabl...
Reliable Uncertainty Quantification (UQ) and failure prediction remain open challenges for Vision-...
Reliable Uncertainty Quantification (UQ) and failure prediction remain open challenges for Vision-...
Artificial Intelligence has revolutionised critical care for common conditions. Yet, rare conditio...
The Critical View of Safety (CVS) is crucial for safe laparoscopic cholecystectomy, yet assessing ...
The Critical View of Safety (CVS) is crucial for safe laparoscopic cholecystectomy, yet assessing ...
With the rapid progress of artificial intelligence (AI) in multi-modal understanding, there is inc...
Biometric authentication is a widely used security mechanism that leverages unique physiological o...
Background: Chronic critical illness (CCI) is a serious condition characterized by a prolonged cours...
Background: In the field of bibliometrics, although some studies have conducted literature reviews a...
BACKGROUND: Sepsis is a leading cause of mortality worldwide, characterized by a dysregulated host r...
Acute Respiratory Distress Syndrome (ARDS), characterized by the rapid onset of respiratory failure ...
The prediction of Intensive Care Unit (ICU) readmission has become a crucial area of research due to...
Bronchopulmonary dysplasia (BPD) is a common complication among preterm neonates, with portable X-...
Solving Inverse Kinematics (IK) problems is fundamental to robotics, but has primarily been succes...
Identifying and measuring biases associated with sensitive attributes is a crucial consideration i...
Patient stratification identifying clinically meaningful subgroups is essential for advancing pers...
Early identification of high-risk ICU patients is crucial for directing limited medical resources....