Trials / Recruiting
RecruitingNCT05668637
Evaluation and Further Development of an Artificial Intelligence-based Algorithm for Clinical Decision Support
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
- Status
- Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 318,542 (estimated)
- Sponsor
- Technische Universität Dresden · Academic / Other
- Sex
- All
- Age
- 18 Years
- Healthy volunteers
- —
Summary
Invasive mechanical ventilation is one of the most important and life-saving therapies in the intensive care unit (ICU). In most severe cases, extracorporeal lung support is initiated when mechanical ventilation is insufficient. However, mechanical ventilation is recognised as potentially harmful, because inappropriate mechanical ventilation settings in ICU patients are associated with organ damage, contributing to disease burden. Studies revealed that mechanical ventilation is often not provided adequately despite clear evidence and guidelines. Variables at the ventilator and extracorporeal lung support device can be set automatically using optimization functions and clinical recommendations, but the handling of experts may still deviate from those settings depending upon the clinical characteristics of individual patients. Artificial intelligence can be used to learn from those deviations as well as the patient's condition in an attempt to improve the combination of settings and accomplish lung support with reduced risk of damage.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | Artificial Intelligence-based Decision support | Decision support to optimise invasive mechanical ventilation settings |
Timeline
- Start date
- 2023-01-01
- Primary completion
- 2026-02-28
- Completion
- 2026-02-28
- First posted
- 2022-12-30
- Last updated
- 2025-09-26
Locations
8 sites across 5 countries: United States, Germany, Serbia, Spain, Switzerland
Source: ClinicalTrials.gov record NCT05668637. Inclusion in this directory is not an endorsement.