AI may spot hidden kidney transplant rejection

NCT ID NCT07741552

First seen Aug 03, 2026 · Last updated Aug 04, 2026 · Updated 1 time

Summary

This study is developing an artificial intelligence (AI) system to analyze kidney biopsy images from transplant patients. The goal is to see if AI can accurately tell apart different types of rejection, measure how much damage the kidney has, and predict if rejection might come back. Researchers will use leftover biopsy samples and medical records from about 1,000 patients, with no extra procedures or costs for participants. If the AI works well, it could help doctors make more precise treatment decisions and improve long-term outcomes for kidney transplant recipients.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance
Artificial intelligence model analyzing kidney biopsy images and clinical data
What this could lead to
If successful, this AI tool could help doctors more accurately diagnose kidney transplant rejection, assess its severity, and predict the risk of recurrence, potentially improving long-term transplant outcomes.
What could go wrong
This is an observational study using existing biopsy samples, so it won't directly test a new treatment. The AI model's accuracy and reliability need to be validated, and it may not generalize to all patient populations or clinical settings.

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

  • The First Affiliated Hospital, Zhejiang University School of Medicine

    Hangzhou, Zhejiang, China

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