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

NCT ID NCT05278390

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.

Disclaimer Read more

This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

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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.

Contacts and locations

Locations

  • Service d'Anesthésie-Réanimation - CHU Strasbourg

    Strasbourg, 67098, France

  • Service d'anesthésie réanimation-CHU de Nancy

    Nancy, 54500, France