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Ramaniuk T.I.

Philips LLC

Pozdnyakov D.Yu.

Philips LLC

Mushenok F.B.

Philips Innovation Laboratories Rus

Artificial intelligence and machine learning in intensive care unit

Authors:

Ramaniuk T.I., Pozdnyakov D.Yu., Mushenok F.B.

More about the authors

Journal: Russian Journal of Anesthesiology and Reanimatology. 2021;(4): 97‑104

DOI: 10.17116/anaesthesiology202104197

Read: 3262 times

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Table of contents

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN INTENSIVE CARE UNIT
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN INTENSIVE CARE UNIT

To cite this article:

Ramaniuk TI, Pozdnyakov DYu, Mushenok FB. Artificial intelligence and machine learning in intensive care unit. Russian Journal of Anesthesiology and Reanimatology. 2021;(4):97‑104. (In Russ.)
https://doi.org/10.17116/anaesthesiology202104197

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Использование инфографики авторами научных работ
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Abstract:

The authors present the world experience of application of information technologies in intensive care units. The advantages of digitalization and patient data management systems are analyzed regarding clinical and economic efficiency. The authors describe the basic functionality of IntelliSpace Critical Care and Anesthesia (ICCA) patient data management system (Philips). The key issues of machine learning and artificial intelligence for analysis and forecasting in medicine are discussed.

Keywords:

information technology
anesthesiology
intensive care
ICCA
artificial intelligence
machine learning

Authors:

Ramaniuk T.I.

Philips LLC

Pozdnyakov D.Yu.

Philips LLC

Mushenok F.B.

Philips Innovation Laboratories Rus

Received:

26.03.2021

Accepted:

10.04.2021

Close metadata

References:

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