AI could revolutionize severe pneumonia diagnosis
NCT ID NCT07461714
First seen Jun 27, 2026 ยท Last updated Jun 27, 2026
Summary
This study is testing whether an artificial intelligence model can more accurately diagnose the cause of severe pneumonia compared to traditional methods. Researchers will collect data from 1,000 ICU patients, including medical images, lab tests, and immune system information. The goal is to identify different immune subtypes and guide personalized treatment to improve outcomes.
What this could mean
Our plain-language read of the trial. This is informational only โ not medical advice or a prediction.
- Active substance
- Artificial intelligence model
- What this could lead to
- If successful, this could lead to faster and more accurate diagnosis of severe pneumonia and help doctors choose the best treatments for each patient.
- What could go wrong
- This is an observational study, not a treatment trial. The AI model may not perform as expected in real-world settings, and results may not apply to all patients.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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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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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
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Other studies related to the condition(s) this trial covers.
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