Currently, most critical care information is not expressed automatically at a granular level,
rather is continually assessed by overindulged Intensive Care Unit (ICU) staff. Furthermore …

Methods from the fields of artificial intelligence (AI) and machine learning (ML) are entering
the medical literature at an unprecedented rate. A PubMed search using the keyword …

Background Perhaps nowhere else in the healthcare system than in the intensive care unit
environment are the challenges to create useful models with direct time-critical clinical …

The diffusion of electronic health records collecting large amount of clinical, monitoring, and
laboratory data produced by intensive care units (ICUs) is the natural terrain for the …

Critical care units are home to some of the most sophisticated patient technology within
hospitals. In parallel, the field of machine learning is advancing rapidly and increasingly …

The depth and breadth of data produced in the modern cardiac intensive care unit (CICU)
poses challenges to clinicians and researchers. Artificial intelligence (AI) and machine …

The modern father of artificial intelligence (AI), Professor Andrew Ng (Stanford University),
once described AI as the “new electricity.” Over the last few years, research and innovation …

The application of artificial intelligence (AI) techniques to the monitoring and treatment of
patients in the intensive care unit (ICU) is advancing rapidly from future possibility to …

With recent advances in electronic data availability, algorithms and computing power, the
potential of artificial intelligence (AI) in the care of the critically ill patients has increased …

Critical care has the benefit of leveraging artificial intelligence due to the richness of the data
available to make difficult clinical decisions for complex and critically ill patients. Diverse …