Latest AI and machine learning research in intensivists for healthcare professionals.
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...
Most of the existing municipal waste management (MWM) systems focus on the optimization of the waste...
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...
Multi-view unsupervised feature selection (MUFS) is an efficient approach for dimensional reduction ...
Neural Architecture Search (NAS), aiming at automatically designing neural architectures by machines...
Accurate segmentation and lesion localization are essential for treating diseases in medical images....
Emotion-cause pair extraction (ECPE) is a challenging task that aims to automatically identify pairs...
OBJECTIVE: This study aims to design, validate and assess the accuracy a deep learning model capable...
Tensor-based multi-view spectral clustering algorithms use tensors to model the structure of multi-d...
With the development of deep learning, medical image segmentation in computer-aided diagnosis has be...
We present a novel methodology for integrating high resolution longitudinal data with the dynamic pr...
BACKGROUND: Classifying breast cancer subtypes is crucial for clinical diagnosis and treatment. Howe...
INTRODUCTION: Common goals for procedural sedation are to control pain and ensure the patient is not...
OBJECTIVE: For patients in the Intensive Care Unit (ICU), the timing of intubation has a significant...
Source localization is significant for mitigating indoor air pollution and safeguarding the well-bei...
Depth of focus (DOF) is defined as the axial range in which the specimen stage moves without losing ...
The global burden of acute and chronic wounds presents a compelling case for enhancing wound classif...
Deep networks can facilitate the monitoring of a balanced diet to help prevent various health proble...