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

Project Information

IntelliLung

Grant agreement ID: 101057434

DOI

10.3030/101057434

EC signature date 24 May 2022

Start date 1 September 2022

End date 31 August 2027

Funded under

• Health

Total cost

€ 5 980 347,50

EU contribution

€ 5 980 347,00

Coordinated by

TECHNISCHE UNIVERSITAET DRESDEN
Germany

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (7)

Information leaflet

Completed information leaflet, ready to be used in the different clinical settings. It will also describe logistic aspects of information delivery in the respective ICUs.

ESAIC survey results

This deliverable also contains the results of the survey, which are to be published in a suitable scientific journal.

Report on the status of posting results in a repository Study A

D1.5 comprises statistical analyses of the results and scientific publication(s).

Distribution / Promotion of the survey at the target group

This includes the promotion of the survey to the target group (repeated if necessary) as well as the delivery of results to TUD-UKD for analyses (M12).

Information package structure, content and delivery

Specification of information leaflet content, including different versions according to the site-specific regulations and patient characteristics.

Project identity

This deliverable will contain a refined project logo, and corporate identity guidelines.

End-user survey content

The survey addressed to the end-users containing basic information about the participants, information about their current knowledge and recent experiences regarding AI-DSS, as well as potential fears and hopes associated with AI application in the ICU setting.

Other (2)

Study initiation package Study A

The deliverable contains the ClinicalTrials.gov and relevant EUDAMED/DMIDS registration numbers along with relevant documents. The full study protocol, as well as all necessary documents for Institutional Review Board approval, will be prepared for TUD-UKD, CLE, and I3PT.

Study initiation package Study B

This deliverable contains ClinicalTrials.gov and EUDAMED/DMIDS registration numbers and relevant documentation (final clinical investigation plan, Institutional Review Board approval, full ethical and regulatory approval for all study sites), as well as a peer-reviewed publication of the study protocol.

Websites, patent fillings, videos etc. (1)

Launching an official project website

This deliverable reports on the developed project website. The website will follow the corporate identity guidelines developed in D6.1.

Publications

Conference proceedings (3)

Development and evaluation of an artificial intelligence‑based decision support system to optimise mechanical ventilation in acute respiratory failure

Author(s): Wittenstein, Jakob; Scharffenberg, Martin; Fischer, Franziska Johanna; Theilen, Raphael; Kramer, Tim; Koch, Thea; vahdati, sahar; Gama de Abreu, Marcelo; Huhle, Robert
Published in: 2024
Publisher: Springer Science and Business Media LLC
DOI: 10.1186/S40635-024-00658-Z

ICU Mechanical Ventilation Data Imputation

Author(s): Prathmesh Dudhe, Jason Li, Muhammad Hamza Yousuf, Jens Lehmann, Sahar Vahdati
Published in: IFIP Advances in Information and Communication Technology, Artificial Intelligence Applications and Innovations, 2025
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-96231-8_11

IntelliLung AI-DSS Trustworthiness Evaluation Framework

Author(s): Valentina Janev, Miloš Nenadović, Dejan Paunović, Sahar Vahdati, Jason Li, Muhammad Hamza Yousuf, Jaume Montanya, Raphael Theilen, Jakob Wittenstein, Sarah Tsurkan, Robert Huhle
Published in: 2024 32nd Telecommunications Forum (TELFOR), 2026
Publisher: IEEE
DOI: 10.1109/TELFOR63250.2024.10819068

Peer reviewed articles (4)

Perceptions on artificial intelligence among anaesthesia and intensive care professionals: An international survey on attitudes, expectations and needs

Author(s): Raphael Theilen, Tim Kramer, Martin Scharffenberg, Ian-Christopher Jung, Maria Zerlik, Marcelo Gama de Abreu, Saman Sepehr, Thea Koch, Brita Sedlmayr, Robert Huhle, Jakob Wittenstein
Published in: Journal of Clinical Monitoring and Computing, Issue 40, 2026, ISSN 1573-2614
Publisher: Springer Science and Business Media LLC
DOI: 10.1007/S10877-026-01464-6

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

Author(s): Muhammad Hamza Yousuf, Jason Li, Sahar Vahdati, Raphael Theilen, Jakob Wittenstein, Jens Lehmann
Published in: Proceedings of the AAAI Conference on Artificial Intelligence, Issue 40, 2026, ISSN 2374-3468
Publisher: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/AAAI.V40I46.41306

Intelligent Lung Support in the Intensive Care Unit (IntelliLung): study protocol for an international observational, prospective, multicentre study

Author(s): Raphael Theilen, Robert Huhle, Martin Scharffenberg, Franziska Fischer, Tim Kramer, Thea Koch, Lorenzo Ball, Lluis Blanch, Leonardo Sarlabous, Fernando Suárez-Sipmann, Konstanty Szuldrzynski, Milosz Jankowski, Julia Kalinka, Evelyn Trips, Barbara Djawid, Sarah Tsurkan, Valentina Janev, Miloš Nenadović, Dejan Paunović, Sahar Vahdati, Jaume M Castells, Andrea Kurz, Ahmed Hallawa, Ary Serpa Neto, Marcus J Schultz, Marcelo Gama de Abreu, Jakob Wittenstein
Published in: BMJ Open, Issue 16, 2026, ISSN 2044-6055
Publisher: BMJ
DOI: 10.1136/BMJOPEN-2025-114851

Test-Time Confidence Quantification Using Q-Ensembles for Offline RL

Author(s): Jason Li, Muhammad Hamza Yousuf, Juhyun Seo, Jens Lehmann, Sahar Vahdati
Published in: IEEE Access, Issue 14, 2026, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2026.3685907

Book chapters (1)

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

Author(s): Farhad Safaei, Milos Nenadović, Roman Liessner, Raphael Theilen, Jakob Wittenstein, Jens Lehmann, Sahar Vahdati
Published in: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Publisher: IOS Press
DOI: 10.3233/FAIA241069