AI learns from thousands of ICU patients to improve ventilator care

NCT ID NCT05668637

Recruiting now Knowledge-focused Sponsor: Technische Universität Dresden Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study looks at past treatment data from over 300,000 ICU patients who needed a breathing machine (ventilator). The goal is to train an artificial intelligence (AI) system to help doctors choose the safest ventilator settings. By learning from real-life decisions and patient responses, the AI may reduce the risk of lung damage. No new treatments are given; the study only analyzes existing records.

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Conditions

The condition(s) this trial relates to.

Ventilator-Induced Lung Injury

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

INVASIVE MECHANICAL VENTILATION

Contacts and locations

Locations

Better Care Sl
ACTIVE_NOT_RECRUITING

Sabadell, Spain
Cleveland Clinic Foundation, Cleveland, USA
RECRUITING

Cleveland, Ohio, 44195, United States
Fundacio Parc Tauli
COMPLETED

Sabadell, Spain
Fundacion Publica Andaluza Progreso Y Salud
ACTIVE_NOT_RECRUITING

Seville, Spain
Inselspital, Universitätsspital Bern
COMPLETED

Bern, Switzerland
Institut Fur Angewandte Informatik (Infai) Ev
ACTIVE_NOT_RECRUITING

Leipzig, Germany
Institut Mihajlo Pupin
ACTIVE_NOT_RECRUITING

Belgrade, Serbia
University Hospital Carl Gustav Carus Dresden
RECRUITING

Dresden, Germany

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