Latest AI and machine learning research in intensivists for healthcare professionals.
Metabolic syndrome (MetS) is a complex disorder characterized by a cluster of metabolic abnormalitie...
Brain tumor detection in clinical applications is a complex and challenging task due to the intricat...
BACKGROUND: With the development of artificial intelligence, the application of machine learning to ...
BACKGROUND: Atrial fibrillation (AF) is common among intensive care unit (ICU) patients and signific...
OBJECTIVE: It is difficult to predict which mechanically ventilated patients will ultimately require...
, a notable drug-resistant bacterium, often induces severe infections in healthcare settings, prompt...
convolutional neural networks (CNNs) show great potential in medical image segmentation tasks, and c...
Entity alignment is a crucial task in knowledge graphs, aiming to match corresponding entities from ...
Extensive research has been devoted to predicting ICU mortality, to assist clinical teams managing c...
The analysis of medical images (MI) is an important part of advanced medicine as it helps detect and...
BACKGROUND: Timely diagnosis of neonatal sepsis is challenging. We aimed to systematically evaluate ...
With neuropsychiatric complications recognized among COVID-19 patients translating into significant ...
Host defense peptide (HDP)-mimicking polymers are promising therapeutic alternatives to antibiotics ...
Cancer treatment has become one of the biggest challenges in the world today. Different treatments a...
INTRODUCTION: Various Machine Learning (ML) models have been used to predict sepsis-associated morta...
INTRODUCTION: Sepsis-associated acute kidney injury (SA-AKI) is strongly associated with poor progno...
In medical image segmentation, it is often necessary to collect opinions from multiple experts to ma...
Severe pneumonia results in high morbidity and mortality despite advanced treatments. This study inv...
Multi-view learning is an emerging field of multi-modal fusion, which involves representing a single...
In unsupervised scenarios, deep contrastive multi-view clustering (DCMVC) is becoming a hot research...
INTRODUCTION: Treatment in the intensive care unit (ICU) generates complex data where machine learni...