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

  • Guangzhou First People's Hospital

    Guangzhou, Guangdong, 510000, China

  • the Affiliated Panyu Central Hospital of Guangzhou Medical University

    Guangzhou, Guangdong, 510000, China

  • the Fourth Affiliated Hospital of Guangzhou Medical University

    Guangzhou, Guangdong, 510000, China

  • the Guangzhou Red Cross Hospital

    Guangzhou, Guangdong, 510000, China

  • the Second Affiliated Hospital of Guangzhou Medical University

    Guangzhou, Guangdong, 510000, China

  • 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.