AI could revolutionize severe pneumonia care by pinpointing causes and immune types
NCT ID NCT07461714
First seen Mar 11, 2026 · Last updated May 14, 2026 · Updated 8 times
Summary
This study enrolls 1,000 adults in the ICU with severe pneumonia to develop an AI model that combines clinical, imaging, and immune data. The goal is to diagnose the cause of pneumonia faster and more accurately than current methods, and to identify different immune response patterns. This could help doctors tailor treatments to each patient's specific needs, potentially improving survival.
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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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Guangzhou First People's Hospital
Guangzhou, Guangdong, 510000, China
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the Affiliated Panyu Central Hospital of Guangzhou Medical University
Guangzhou, Guangdong, 510000, China
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the Fourth Affiliated Hospital of Guangzhou Medical University
Guangzhou, Guangdong, 510000, China
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the Guangzhou Red Cross Hospital
Guangzhou, Guangdong, 510000, China
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the Second Affiliated Hospital of Guangzhou Medical University
Guangzhou, Guangdong, 510000, China
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the Third Affiliated Hospital of Guangzhou Medical University
Guangzhou, Guangdong, 510000, China
Conditions
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