Latest AI and machine learning research in intensivists for healthcare professionals.
Sepsis is a major cause of mortality among hospitalized patients worldwide. Shorter time to administ...
People living with dementia (PLwD) often exhibit behavioral and psychological symptoms, such as epis...
MicroRNAs (miRNAs) and long non-coding RNAs (lncRNAs) are both non-coding RNAs (ncRNAs) and their in...
Liver tumor segmentation networks are generally based on U-shaped encoder-decoder network with 2D or...
Professional cleaning and safe social distance monitoring are often considered as demanding, time-co...
Deep attractor networks (DANs) perform speech separation with discriminative embeddings and speaker ...
BACKGROUND: Acute respiratory distress syndrome (ARDS) is a common, but under-recognised, critical i...
BACKGROUND: Diagnosing sepsis remains challenging. Data compiled from continuous monitoring and elec...
Somatosensitive soft crawling robotics is highly desired for load carrying and multi-terrain locomot...
BACKGROUND AND OBJECTIVES: Sepsis is a life-threatening condition that is associated with increased ...
Most computational predictive models are specifically trained for a single toxicity endpoint and lac...
Clustering is a machine learning paradigm of dividing sample subjects into a number of groups such t...
IMPORTANCE: Sepsis disproportionately affects recipients of allogeneic hematopoietic cell transplant...
Machine learning (ML) has the potential to bring significant clinical benefits. However, there are p...
Multi-domain proteins are not only formed through natural evolution but can also be generated by rec...
Accurate waste classification is key to successful waste management. However, most current studies h...
Cardiovascular Disease (CVD) is a primary cause of heart problems such as angina and myocardial isch...
Translation elongation is regulated by a series of complicated mechanisms in both prokaryotes and eu...
With the rapid growth and increasing use of brain MRI, there is an interest in automated image class...
Computational decision support systems could provide clinical value in whole-body FDG-PET/CT workflo...
Radiographic imaging is routinely used to evaluate treatment response in solid tumors. Current imagi...