Full Citation and Abstract
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Title: |
Artificial intelligence in automatic ventilation therapy using open lung concept |
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Author(s): |
Anake Pomprapa, Burkhard Lachmann, Philipp Pickerodt, David Schwaiberger, Steffen Leonhardt |
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Address: |
Philips Chair for Medical Information Technology, RWTH Aachen University, Pauwelsstrasse 20, D-52074 Aachen, Germany
Department of Anesthesiology and Intensive Care Medicine, Campus Virchow Klinikum, Charité University Hospital Berlin, D-13353 Berlin, Germany
Department of Anesthesiology and Intensive Care Medicine, Campus Virchow Klinikum, Charité University Hospital Berlin, D-13353 Berlin, Germany
Department of Anesthesiology and Intensive Care Medicine, Campus Virchow Klinikum, Charité University Hospital Berlin, D-13353 Berlin, Germany
Philips Chair for Medical Information Technology, RWTH Aachen University, Pauwelsstrasse 20, D-52074 Aachen, Germany
pomprapa @ hia.rwth-aachen.de, burkhard.lachmann @ gmail.com, philipp.pickerodt @ charite.de, david.schwaiberger @ charite.de, medit @ hia.rwth-aachen.de |
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Reference: |
SKIMA 2013 Proceedings pp. 99 - 105 |
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Abstract/
Summary |
In this article, we develop a fully automatic ventilation therapy system based on open lung concept with the aid of artificial intelligence (AI), which designs intelligent machines imitating intelligent behaviors. Our operational concept is applicable to patients with respiratory insufficiency of poor oxygenation or acute respiratory distress syndrome (ARDS). 'Open the lung and keep the lung open' is the central idea for implementing this ventilation strategy. Thereby, a new algorithm of open lung concept is described with the aim to prevent ventilator-induced lung injury (VILI) and to improve gas exchange. The automatic ventilation therapy is carried out using porcine dynamics of induced ARDS. Quick response of significantly improved oxygenation and safety can be achieved by this closed-loop ventilation system. |
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