Latest AI and machine learning research in intensivists for healthcare professionals.
In the realm of long document classification (LDC), previous research has predominantly focused on m...
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...
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...
Neural Architecture Search (NAS), aiming at automatically designing neural architectures by machines...
OBJECTIVE: This study aims to design, validate and assess the accuracy a deep learning model capable...
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...
Aneurysmal subarachnoid haemorrhage (aSAH) can lead to complications such as acute hydrocephalic con...
Machine learning (ML) has the potential to revolutionize healthcare, allowing healthcare providers t...
BACKGROUND: Vancomycin is a renally eliminated, nephrotoxic, glycopeptide antibiotic with a narrow t...
BACKGROUND: Early and reliable identification of patients with sepsis who are at high risk of mortal...
OBJECTIVE: To address the challenge of assessing sedation status in critically ill patients in the i...
Osteoarthritis of the knee, a widespread cause of knee disability, is commonly treated in orthopedic...
It is important to determine the risk for admission to the intensive care unit (ICU) in patients wit...
The development of reliable mortality risk stratification models is an active research area in compu...
BACKGROUND: Patients and families on Intensive Care Units (ICU) benefit from ICU diaries, enhancing ...
Machine learning (ML) has been applied in sepsis recognition across different healthcare settings wi...
The delayed diagnosis of invasive fungal infection (IFI) is highly correlated with poor prognosis in...