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Results and News

Project Video

We are thrilled to announce the release of our project video, offering a glimpse into the world of mechanical ventilation. Learn more about how we aim to optimize invasive ventilation of critically ill patients with an AI-based decision support system.

Publications

BMJ Open | 2026

Theilen R, Huhle R, Scharffenberg M, et al. Intelligent Lung Support in the Intensive Care Unit (IntelliLung): study protocol for an international observational, prospective, multicentre study. BMJ Open 2026;16:e114851. doi: 10.1136/bmjopen-2025-114851

Journal of Clinical Monitoring and Computing | 2026

Theilen, R., Kramer, T., Scharffenberg, M. Jung, IC., Zerlik, M., Gama de Abreu M., Sepher S., Koch ,T., Sedlmayr, B., Huhle, R., Wittenstein, J.: Perceptions on artificial intelligence among anaesthesia and intensive care professionals: An international survey on attitudes, expectations and needs. Journal of Clinical Monitoring and Computing (2026). https://doi.org/10.1007/s10877-026-01464-6

The Lancet Respiratory Medicine | 2025

Effects of intraoperative higher versus lower positive end-expiratory pressure during one-lung ventilation for thoracic surgery on postoperative pulmonary complications (PROTHOR): a multicentre, international, randomised, controlled, phase 3 trial

ArXiv | 2025

Advancing Safe Mechanical Ventilation Using Offline RL With Hybrid Actions and Clinically Aligned Rewards

ERS Publications | Handbook Chapter | 2025

Role of artificial intelligence in mechanical ventilation

Proceedings | International Conference on AI Applications and Innovations | 2025

ICU Mechanical Ventilation Data Imputation

IOS Press Ebooks | Vol. 392: ECAI 2024

X-Vent: ICU Ventilation with Explainable Model-Based Reinforcement Learning

IOS Press Ebooks | Vol. 58: 2024

AI-Based Decision Support Systems in Intensive Care

Proceedings | Intensive Care Medicine Experimental | 2024

Development and Evaluation of an Artificial Intelligence-based Decision Support System to Optimise Mechanical Ventilation in Acute Respiratory Failure

Proceedings | DIVI24 | 2024

Entwicklung und Evaluierung eines Künstliche Intelligenz-gestützten Entscheidungshilfesystems für die mechanische Beatmung im ­ akuten Lungenversagen: Eine klinische und tierexperimentelle Studie

News

All news, information on the progress of the project and events related to the IntelliLung project will be posted here. For press and media enquiries, please contact news.ekfz@tu-dresden.de.

CORDIS EU research results

Fact sheet Grant agreement ID: 101057434 2022 – 2027

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