Clinical Trials Directory

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

TypeNameDescription
OTHERArtificial Intelligence-based Decision supportDecision 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.