AI reads lung scans to predict ARDS outcomes in 400 patients
NCT ID NCT07328997
First seen Jan 10, 2026 · Last updated May 24, 2026 · Updated 21 times
Summary
This study tested whether artificial intelligence (AI) could help doctors better diagnose and predict the course of acute respiratory distress syndrome (ARDS), a severe lung condition. Researchers analyzed chest CT scans and clinical data from 400 intensive care unit patients to build an AI model that classifies ARDS severity and forecasts short-term events like the need for a breathing machine or risk of death. The goal was to create a tool that supports treatment decisions, but the study itself did not test a new treatment or cure.
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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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Department of critical care medicine, Zhongshan Hospital, Fudan University
Shanghai, Fengling Rd, 200032, P. R., China
Conditions
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