AI eye on lungs: new scan test could spot severity of breathing failure

NCT ID NCT05278390

Ongoing Knowledge-focused Sponsor: University Hospital, Strasbourg, France Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is testing whether a computer can automatically measure how much lung tissue is damaged in patients with severe breathing problems from COVID-19 or after surgery. Researchers will compare the computer's lung measurements to standard severity scores in 500 patients. The goal is to see if this automated method can help doctors quickly assess how sick a patient is.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could lead to a faster, automated way to assess lung injury severity in respiratory failure, helping doctors make quicker decisions.
What could go wrong: This is an observational study, not a treatment trial. It may not change patient outcomes directly, and the automated method might not be accurate enough for all patients.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for COVID-19 are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

acute respiratory failure COVID-19 respiratory failure

As listed by the trial registrant

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

RESPIRATORY FAILURE WITH HYPOXIA SARS-COV-2 INFECTIONS

Contacts and locations

Locations

Service d'Anesthésie-Réanimation - CHU Strasbourg

Strasbourg, 67098, France
Service d'anesthésie réanimation-CHU de Nancy

Nancy, 54500, France

More trials for these conditions

Other studies related to the condition(s) this trial covers.