Using artificial intelligence to improve mechanical ventilation decisions
Official title: Retrospective Use of Patient Treatment Data for the Evaluation and Further Development of an Artificial Intelligence-based Algorithm for Clinical Decision Support in Invasive Mechanical Ventilation of Intensive Care Patients
Run by Technische Universität Dresden · NCT05668637 · Data updated 2026-11-12
This study tests whether an artificial intelligence tool can help doctors make better decisions about ventilator settings for patients on mechanical ventilation in the ICU.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 318542 (estimated) |
| Sponsor | Technische Universität Dresden Academic / other |
| Locations | 8 sites (Cleveland, Ohio and 7 other locations) |
| Status | Recruiting |
| Started | January 1, 2023 |
| Main results expected | September 1, 2026 |
| Study ends | September 1, 2026 |
| Registry record updated | April 21, 2026 |
| Trial ID | NCT05668637 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are adults aged 18 years or older who require invasive mechanical ventilation for more than four hours.
✕Probably not a fit
Patients receiving one-lung ventilation may not benefit from this study due to the specific focus on invasive mechanical ventilation settings.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study evaluates an artificial intelligence-based algorithm designed to support clinical decision-making for patients undergoing invasive mechanical ventilation. The algorithm aims to optimize ventilator settings based on individual patient characteristics and clinical guidelines, addressing the risks associated with inappropriate ventilation. By learning from deviations in expert handling and patient conditions, the AI system seeks to enhance patient outcomes in the intensive care unit. The study is observational and focuses on patients who have been on mechanical ventilation for more than four hours.
Why it matters
Potential benefit: If successful, this approach could lead to improved patient outcomes by minimizing ventilator-induced lung injury and optimizing mechanical ventilation strategies.
How similar studies have gone: While the use of artificial intelligence in clinical decision support is a growing field, this specific application in optimizing mechanical ventilation settings is relatively novel and has not been extensively tested in prior studies.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: • Subjects who are 18 years or older and receive invasive mechanical ventilation for \> 4 hours Exclusion Criteria: • Patients receiving one-lung ventilation
Where it's running
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Cleveland Clinic Foundation, Cleveland, USA
Cleveland, Ohio, United States Recruiting -
University Hospital Carl Gustav Carus Dresden
Dresden, Germany Recruiting -
Institut Fur Angewandte Informatik (Infai) Ev
Leipzig, Germany Active not recruiting -
Institut Mihajlo Pupin
Belgrade, Serbia Active not recruiting -
Better Care Sl
Sabadell, Spain Active not recruiting -
Fundacio Parc Tauli
Sabadell, Spain Completed
Show 2 more locations
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Fundacion Publica Andaluza Progreso Y Salud
Seville, Spain Active not recruiting -
Inselspital, Universitätsspital Bern
Bern, Switzerland Completed
Study contacts
- Principal investigator: Jakob Wittenstein, MD — University Hospital Carl Gustav Carus at Technischen Universität Dresden, Germany
- Study coordinator: Jakob Wittenstein, MD
- Email: jakob.wittenstein@ukdd.de
- Phone: +49 351 458 19887
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.