Latest AI and machine learning research in intensivists for healthcare professionals.
Machine learning-based clinical decision support tools for sepsis create opportunities to identify a...
Identifying and designing high-performance multi-element ceramics based on trial-and-error approache...
Implementing intelligent reflecting surfaces (IRSs), in high frequency based beyond 5G networks, has...
PURPOSE: The application of point of care ultrasound (PoCUS) in medical education is a relatively ne...
A new task force dedicated to artificial intelligence (AI) with respect to paediatric radiology was ...
Respiratory diseases are leading causes of mortality and morbidity worldwide. Pulmonary imaging is a...
The 25th Society for Cardiovascular Magnetic Resonance (SCMR) Annual Scientific Sessions saw 1524 re...
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...