AI takes on kidney biopsies: could it Out-Diagnose doctors?
NCT ID NCT07330362
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study is testing an artificial intelligence model that reads kidney biopsy images to diagnose chronic kidney disease. Researchers will compare the AI's results to the standard diagnosis made by pathologists. About 2,900 patients with chronic glomerulonephritis will participate. The goal is to see how accurate the AI is at identifying the disease.
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 diagnostic model
What this could lead to
If successful, this AI could help doctors diagnose kidney disease faster and more consistently from biopsy images.
What could go wrong
This is an early-stage diagnostic study, not a treatment. The AI may not be accurate enough to replace pathologists, and results may not apply to all patients.
Disclaimer
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This is a summary of
the original study
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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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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
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Nanfang Hospital
RECRUITINGGuangzhou, Guangdong, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Zhujiang Hospital of Southern Medical University
RECRUITINGGuangzhou, Guangdong, China
Contact Phone: •••-•••-•••• Email: •••••@•••••