IntelliLung: AI-Support Support for Critical Care
The new project Intelligent lung support system for acute respiratory failure (IntelliLung) was started in the BI Connected Robotics Lab
Intensive care patients with acute respiratory failure usually need support of lung function, which is accomplished with mechanical ventilation and, in most severe cases, extracorporeal gas-exchange. Although mechanical ventilation is a life-saving therapy, it has the potential to worsen lung injury and impair the haemodynamics. Currently, there are different strategies to protect the lungs from injury by the ventilator. Yet, settings may differ substantially regarding to the mechanical energy transferred to lungs, and its distribution across the parenchyma. Variables at the ventilator and extracorporeal lung support device can be set automatically using optimization functions and clinical recommendations, but the handling of experts may still deviate from those settings depending upon clinical characteristics of individual patients. Artificial intelligence can be used to learn from those deviations as well as the patient’s condition in an attempt to improve the combination of settings and accomplish lung support with reduced risk of damage. The project IntelliLung aims at developing a hybrid mechanical ventilator/extracorporeal lung support device, where elements communicate wireless, using artificial intelligence-based algorithms to improve the care of invasively mechanically ventilated patients with acute respiratory failure.
The Barkhausen Institut works on the subproject to wirelessly connect involved devices in a simple, secure and reliable manner.
This measure is co-financed with funds from Else Kröner-Fresenius Center for Digital Health (EKFZ).
Project duration: 2020-2022
Contact: Dr. Maximilian Matthé, maximilian.matthe@barkhauseninstitut.org
Project Partners: University Hospital Carl Gustav Carus in Dresden, Technische Universität Dresden