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Evaluation and Further Development of an Artificial Intelligence-based Algorithm for Clinical Decision Support

NCT05668637 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 318542

Last updated 2026-04-21

No results posted yet for this study

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

  • Invasive Mechanical Ventilation

Interventions

OTHER

Artificial Intelligence-based Decision support

Decision support to optimise invasive mechanical ventilation settings

Sponsors & Collaborators

  • Technische Universität Dresden

    lead OTHER

Principal Investigators

  • Jakob Wittenstein, MD · University Hospital Carl Gustav Carus at Technischen Universität Dresden, Germany

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-01-01
Primary Completion
2026-09-01
Completion
2026-09-01

Countries

  • United States
  • Germany
  • Serbia
  • Spain
  • Switzerland

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05668637 on ClinicalTrials.gov