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

European project that develops a decision support system based on artificial intelligence to optimize mechanical ventilation and extracorporeal pulmonary support in critically ill patients. It uses clinical data and physiological signals to adjust therapeutic parameters in a personalized way. It seeks to improve the quality of care in the ICU, reduce ventilation-induced lung damage and facilitate the understanding of clinical decisions by patients and families.

Clinically validate an artificial intelligence system capable of optimizing mechanical ventilation and extracorporeal support through multicenter studies. The project seeks to reduce complications, shorten the duration of ventilation and improve critical patient survival. In addition, it aims to improve clinical communication through digital tools that facilitate the understanding of therapeutic decisions and promote a more patient-centered approach in intensive care settings.

• Clinical decision support system through the processing of complex data flows in the ICU.
• Predictive algorithms for minimizing ventilator-induced injuries (VILI).
• Critical event filtering to reduce alarm fatigue in healthcare personnel.

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