Latest AI and machine learning research in critical care for healthcare professionals.
Artificial intelligence (AI) in healthcare is the ability of a computer to perform tasks typically a...
Electronic packaging is an essential branch of electronic engineering that aims to protect electroni...
Spine fractures represent a critical health concern with far-reaching implications for patient care ...
Continuous capnography monitors patient ventilation but can be susceptible to artifact, resulting in...
Most existing multi-scale object detectors depend on multi-level feature maps. The Feature Pyramid N...
The optimization of robot controller parameters is a crucial task for enhancing robot performance, y...
Regularized multi-task learning (RMTL) has shown good performance in tackling multi-task binary prob...
BACKGROUND AND OBJECTIVE: Mechanical ventilation is a life-saving treatment for critically-ill patie...
Most of the existing municipal waste management (MWM) systems focus on the optimization of the waste...
Neonatal respiratory distress syndrome (nRDS) is a challenging condition to diagnose which can lead ...
BACKGROUND AND OBJECTIVE: Critically ill children may suffer from impaired neurocognitive functions ...
Atrial fibrillation (AF) stands as the predominant arrhythmia observed in ICU patients. Nevertheless...
Uptake segmentation and classification on PSMA PET/CT are important for automating whole-body tumor ...
To improve respiratory gating accuracy and radiation treatment throughput, we developed a generalize...
PURPOSE: The health and economic consequences of artificial intelligence (AI) systems for mechanical...
Multi-view unsupervised feature selection (MUFS) is an efficient approach for dimensional reduction ...
Achieving human-level dexterity in robotics remains a critical open problem. Even simple dexterous m...
Accurate segmentation and lesion localization are essential for treating diseases in medical images....
Deep multi-view clustering, which can obtain complementary information from different views, has rec...
OBJECTIVE: The objective of this study was to predict extubation readiness in preterm infants using ...
Emotion-cause pair extraction (ECPE) is a challenging task that aims to automatically identify pairs...