Latest AI and machine learning research in intensivists for healthcare professionals.
The objective of this work is to develop a fusion artificial intelligence (AI) model that combines p...
BACKGROUND: Although serum lactate levels are widely accepted markers of haemodynamic instability, a...
Radiological findings on chest X-ray (CXR) have shown to be essential for the proper management of C...
In today's scenario, sepsis is impacting millions of patients in the intensive care unit due to the ...
Rolling element bearing faults significantly contribute to overall machine failures, which demand di...
The high workload in intensive care medicine arises from the exponential growth of medical knowledge...
The aim of this study is to build machine learning models to predict severe complications using admi...
ELECTRE is a family of multi-criteria decision analysis techniques, which has the ability to provide...
Anticipating intensive care unit (ICU) occupancy is critical in supporting decision makers to impose...
OBJECTIVE: As data science and artificial intelligence continue to rapidly gain traction, the public...
Morphological attributes from histopathological images and molecular profiles from genomic data are ...
Pediatric sepsis imposes a significant burden of morbidity and mortality among children. While the s...
Current COVID-19 predictive models primarily focus on predicting the risk of mortality, and rely on ...
Temporal dataset shift associated with changes in healthcare over time is a barrier to deploying mac...
Heart rate variability (HRV) is a mean to evaluate cardiac effects of autonomic nervous system activ...
BACKGROUND: Elderly patients with sepsis have many comorbidities, and the clinical reaction is not o...
The increased use of electronic health records (EHRs) has improved the availability of routine care ...
This study was aimed at analyzing the diagnostic value of convolutional neural network models on acc...
Pulmonary nodules are the main manifestation of early lung cancer. Therefore, accurate detection of ...
OBJECTIVES: We aimed to predict the mortality of patients with craniotomy in ICU by using predictive...
The study aimed to establish a machine learning-based scoring nomogram for early recognition of like...