Artificial Intelligence in the Intensive Care Unit

  • G. GutierrezEmail author
Part of the Annual Update in Intensive Care and Emergency Medicine book series (AUICEM)


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 everyday reality. Developments in computer science, spurred by advances in microprocessor power and storage capacity, have made possible the development of complex and powerful machine learning algorithms. Clinical studies are being published with increasing frequency describing the use of this technique in monitoring and caring for critically ill patients. These studies include work on the early diagnosis of sepsis and acute respiratory distress syndrome (ARDS), mortality prediction models, algorithms to guide fluid and pressor resuscitation, image analysis, alarm monitoring, and mechanical ventilation. The aim of this chapter is to provide the reader with a brief, and hopefully understandable, introduction to the principles of AI. Included are a brief description of machine learning techniques and a succinct analysis of recent studies applying these techniques to the monitoring of critically ill patients, placing an emphasis on mechanical ventilation.


Mechanical ventilation Classification algorithms Machine learning Intelligent monitors Ventilator asynchrony 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Pulmonary, Critical Care and Sleep Medicine DivisionThe George Washington UniversityWashington, DCUSA

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