AI takes on kidney biopsies: could it Out-Diagnose doctors?

NCT ID NCT07330362

Recruiting now Diagnosis Sponsor: Zhujiang Hospital Source: ClinicalTrials.gov ↗

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.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for CHRONIC GLOMERULONEPHRITIS are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

chronic kidney disease chronic rapidly progressive glomerulonephritis chronic renal failure syndrome glomerulonephritis

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

CHRONIC GLOMERULONEPHRITIS CHRONIC KIDNEY DISEASE

Contacts and locations

Locations

Nanfang Hospital
RECRUITING

Guangzhou, Guangdong, China
Zhujiang Hospital of Southern Medical University
RECRUITING

Guangzhou, Guangdong, China

More trials for these conditions

Other studies related to the condition(s) this trial covers.