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CORDIS - EU research results
CORDIS

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

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

Distribution / Promotion of the survey at the target group (opens in new window)

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).

End-user survey content (opens in new window)

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.

Project identity (opens in new window)

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

Launching an official project website (opens in new window)

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

Study initiation package Study A (opens in new window)

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.

Publications

ICU Mechanical Ventilation Data Imputation (opens in new window)

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

AI-Based Decision Support Systems in Intensive Care (opens in new window)

Author(s): Raphael Theilen, Jakob Wittenstein
Published in: Studies on the Semantic Web, Roles and Challenges of Semantic Intelligence in Healthcare Cognitive Computing, 2024
Publisher: IOS Press
DOI: 10.3233/SSW230024

X-Vent: ICU Ventilation with Explainable Model-Based Reinforcement Learning (opens in new window)

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

Best Abstracts (opens in new window)

Published in: Intensive Care Medicine Experimental, Issue 12, 2024, ISSN 2197-425X
Publisher: Springer Science and Business Media LLC
DOI: 10.1186/S40635-024-00658-Z

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