Lung scan AI may predict breathing crisis severity
NCT ID NCT05278390
First seen Jun 08, 2026 · Last updated Jun 11, 2026 · Updated 1 time
Summary
This study tests whether a computer program can automatically measure how much lung tissue is damaged on CT scans of people with severe breathing problems from COVID-19 or after surgery. Researchers will compare the scan results to a standard severity score to see if the automated method can reliably gauge how sick a patient is. The goal is to develop a faster, more objective way to assess lung injury in emergencies.
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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.
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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Contacts and locations
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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
Conditions
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