Intellilung: Intelligent Lung Support for Mechanically Ventilated Patients in the Intensive Care Unit

European project developing an artificial intelligence-based decision support system to optimise mechanical ventilation and extracorporeal lung support in critically ill patients. It uses clinical data and physiological signals to personalise therapeutic settings. The initiative aims to improve ICU care quality, reduce ventilator-induced lung injury and enhance understanding of clinical decisions among patients and relatives, supporting more transparent and effective critical care pathways.

To clinically validate an artificial intelligence system capable of optimising mechanical ventilation and extracorporeal support through multicentre studies. The project aims to reduce complications, shorten ventilation duration and improve survival of critically ill patients. It also seeks to enhance clinical communication through digital tools that support understanding of treatment decisions and promote a more patient-centred approach within intensive care environments.

• Clinical decision support system based on the processing of complex data streams in the ICU.
• Predictive algorithms to minimise ventilator-induced lung injury (VILI).
• Critical event filtering to reduce alarm fatigue among healthcare professionals.