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.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Phase
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Not a phased trial
Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.
- Participants
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About 500 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Jun 2022
- Expected to finish
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Jun 2027
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Subject admitted to a care unit of the University Hospitals of Strasbourg or the University Hospital of Nancy and presenting a suspicion of SARS-CoV-2 infection or postoperative hypoxemic respiratory failure * Able to understand the objectives and risks of the research and to give dated and signed informed consent. Subjects may also be included in emergency or immediate life-threatening situations. * Subject with insurance covering Exclusion Criteria: * Pregnant woman (pregnancy confirmed by a urine or blood test) * Subject usually on home oxygen therapy * Subject under court protection * Subject under guardianship or curatorship
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Service d'Anesthésie-Réanimation - CHU Strasbourg
Strasbourg, 67098, France
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Service d'anesthésie réanimation-CHU de Nancy
Nancy, 54500, France
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Other studies related to the condition(s) this trial covers.
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