Latest AI and machine learning research in critical care for healthcare professionals.
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...
This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency M...
Pneumothorax is a thoracic disease leading to failure of the respiratory system, cardiac arrest, or ...
Accurate prediction of binding poses is crucial to structure-based drug design. We employ two powerf...
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...
In the past decade, deep learning models have been applied to bio-sensors used in a body sensor netw...
: Traditional assessment of the readiness for the weaning from the mechanical ventilator (MV) needs ...
Morphological attributes from histopathological images and molecular profiles from genomic data are ...
To better understand the molecular basis of respiratory diseases of viral origin, high-throughput ge...
World Health Organization (WHO) declared COVID-19 (COronaVIrus Disease 2019) as pandemic on March 11...
The authors of this study developed the use of attenuated total reflectance Fourier transform infrar...
Pediatric sepsis imposes a significant burden of morbidity and mortality among children. While the s...
Machine learning models that utilize patient data across time (rather than just the most recent meas...
Current COVID-19 predictive models primarily focus on predicting the risk of mortality, and rely on ...
OBJECTIVES: We aimed to develop deep learning models using longitudinal chest X-rays (CXRs) and clin...
Temporal dataset shift associated with changes in healthcare over time is a barrier to deploying mac...
OBJECTIVE: To derive and validate a multivariate risk score for the prediction of respiratory failur...