Latest AI and machine learning research in intensivists for healthcare professionals.
Acute Respiratory Distress Syndrome (ARDS) is a syndrome of respiratory failure that may be identifi...
Multi-AUV cooperative target search problem in unknown 3D underwater environment is not only a resea...
Positron emission tomography (PET) has been substantially used recently. To minimize the potential h...
The conciliation of multiple single-disease guidelines for comorbid patients entails solving potenti...
Unplanned extubation (UE) can be associated with fatal outcome; however, an accurate model for predi...
BACKGROUND: Like other scientific fields, such as cosmology, high-energy physics, or even the life s...
Critical illness in patients is characterized by systemic inflammation and oxidative stress. Vitamin...
For myocardial infarction (MI) patients, delayed enhancement (DE) and T2-weighted cardiovascular mag...
BACKGROUND: Prognostication is an essential tool for risk adjustment and decision making in the inte...
As the collection of mobile health data becomes pervasive, missing data can make large portions of d...
Multi-atlas-based methods are commonly used for MR brain image labeling, which alleviates the burden...
Recently, dense connections have attracted substantial attention in computer vision because they fac...
OBJECTIVES: Vitamin D deficiency may be associated with comorbidities and poor prognosis. However, t...
Sepsis is the third leading cause of death worldwide and the main cause of mortality in hospitals, b...
Historically, personalised medicine has been synonymous with pharmacogenomics and oncology. We argue...
Mental tasks classification is increasingly recognized as a major challenge in the field of EEG sign...
BACKGROUND: Sepsis is a major global healthcare concern. Platelets and leucocytes play a key role in...
: Early and appropriate empiric antibiotic treatment of patients suspected of having sepsis is assoc...
BACKGROUND: Although presepsin (P-SEP) is an early sepsis biomarker, sepsis is often suspected after...
Missing data is a ubiquitous problem. It is especially challenging in medical settings because many ...
Video-based facial expression recognition has received substantial attention over the past decade, w...