Latest AI and machine learning research in intensivists for healthcare professionals.
In recent years, extensive resources are dedicated to the development of machine learning (ML) based...
The main objective of this work is to develop and evaluate an artificial intelligence system based o...
High-performance actuating materials are necessary for advances in robotics, prosthetics and smart c...
BACKGROUND: Intensive Care Unit (ICU) patients are exposed to various medications, especially during...
Delaying intubation for patients failing Bi-Level Positive Airway Pressure (BIPAP) may be associated...
The inherent flexibility of machine learning-based clinical predictive models to learn from episodes...
A growing number of artificial intelligence (AI)-based clinical decision support systems are showing...
A new method of multi-sensor signal analysis for fault diagnosis of centrifugal pump based on parall...
OBJECTIVE: To analyze the critical alarms predictors of clinical deterioration/sepsis for clinical d...
Sepsis is defined as a dysregulated host-response to infection, across all ages and pathogens. What ...
A key characteristic of biological systems is the ability to update the memory by learning new knowl...
BACKGROUND: Dynamic prediction of patient mortality risk in the ICU with time series data is limited...
BACKGROUND: Although machine learning (ML) algorithms have been applied to point-of-care sepsis prog...
The COVID-19 pandemic repeatedly overwhelms healthcare systems capacity and forced the development a...
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 ...
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...