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

Información del proyecto

IntelliLung

Identificador del acuerdo de subvención: 101057434

DOI

10.3030/101057434

Fecha de la firma de la CE 24 Mayo 2022

Fecha de inicio 1 Septiembre 2022

Fecha de finalización 31 Agosto 2027

Financiado con arreglo a

• Health

Coste total

€ 5 980 347,50

Aportación de la UE

€ 5 980 347,00

Coordinado por

TECHNISCHE UNIVERSITAET DRESDEN
Germany

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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.

Publicaciones

Conference proceedings (3)

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

Autores: Wittenstein, Jakob; Scharffenberg, Martin; Fischer, Franziska Johanna; Theilen, Raphael; Kramer, Tim; Koch, Thea; vahdati, sahar; Gama de Abreu, Marcelo; Huhle, Robert
Publicado en: 2024
Editor: Springer Science and Business Media LLC
DOI: 10.1186/S40635-024-00658-Z

ICU Mechanical Ventilation Data Imputation

Autores: Prathmesh Dudhe, Jason Li, Muhammad Hamza Yousuf, Jens Lehmann, Sahar Vahdati
Publicado en: IFIP Advances in Information and Communication Technology, Artificial Intelligence Applications and Innovations, 2025
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-96231-8_11

IntelliLung AI-DSS Trustworthiness Evaluation Framework

Autores: Valentina Janev, Miloš Nenadović, Dejan Paunović, Sahar Vahdati, Jason Li, Muhammad Hamza Yousuf, Jaume Montanya, Raphael Theilen, Jakob Wittenstein, Sarah Tsurkan, Robert Huhle
Publicado en: 2024 32nd Telecommunications Forum (TELFOR), 2026
Editor: 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

Autores: 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
Publicado en: Journal of Clinical Monitoring and Computing, Edición 40, 2026, ISSN 1573-2614
Editor: 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

Autores: Muhammad Hamza Yousuf, Jason Li, Sahar Vahdati, Raphael Theilen, Jakob Wittenstein, Jens Lehmann
Publicado en: Proceedings of the AAAI Conference on Artificial Intelligence, Edición 40, 2026, ISSN 2374-3468
Editor: 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

Autores: 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
Publicado en: BMJ Open, Edición 16, 2026, ISSN 2044-6055
Editor: BMJ
DOI: 10.1136/BMJOPEN-2025-114851

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

Autores: Jason Li, Muhammad Hamza Yousuf, Juhyun Seo, Jens Lehmann, Sahar Vahdati
Publicado en: IEEE Access, Edición 14, 2026, ISSN 2169-3536
Editor: 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

Autores: Farhad Safaei, Milos Nenadović, Roman Liessner, Raphael Theilen, Jakob Wittenstein, Jens Lehmann, Sahar Vahdati
Publicado en: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Editor: IOS Press
DOI: 10.3233/FAIA241069