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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

Who can join

Ages 18 and older · All sexes

Inclusion Criteria:

• Subjects who are 18 years or older and receive invasive mechanical ventilation for \> 4 hours

Exclusion Criteria:

• Patients receiving one-lung ventilation

About the study

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.

What is being tested

• Artificial Intelligence-based Decision support (other)

Sponsor: Technische Universität Dresden · Participants: 318,542 · Started: Jan 1, 2023

Contact the study team

• Jakob Wittenstein, MD · Phone: +49 351 458 19887

Official record on ClinicalTrials.gov — NCT05668637

Locations in the U.S.

From ClinicalTrials.gov, data retrieved Sep 30, 2026. Each study sets its own eligibility; the study team decides who can join.