RecruitingNCT07330362

The Clinical Application of Artificial Intelligence Assisted Renal Biopsy Diagnosis System.

The Clinical Application of Artificial Intelligence Assisted Renal Biopsy Image Diagnosis System.


Sponsor

Zhujiang Hospital

Enrollment

2,900 participants

Start Date

Jul 1, 2024

Study Type

OBSERVATIONAL

Conditions

Summary

This research project aims to collect images from patients with chronic glomerulonephritis. For each subject, the images obtained from renal biopsy will undergo evaluation by both the diagnostic model and the 'gold standard' diagnosis by pathologists. The researchers will test the subjects using the diagnostic model and compare the results with the known 'gold standard' diagnosis, in order to evaluate the AUC, specificity, and sensitivity of the diagnostic model.


Eligibility

Min Age: 15 YearsMax Age: 79 Years

Plain Language Summary

Simplified for easier understanding

This study is evaluating an AI-assisted system that helps diagnose kidney disease by analyzing kidney biopsy slides. Researchers want to know whether AI can improve the accuracy, consistency, and speed of reading kidney biopsy results compared to traditional pathologist review alone. **You may be eligible if...** - You have voluntarily signed an informed consent form - You have been clinically diagnosed with or suspected of having chronic kidney disease according to the current guidelines - You are undergoing a kidney biopsy, and pathology slides will be prepared from the tissue sample **You may NOT be eligible if...** - The biopsy tissue is from a donor or transplanted kidney - The quality of the pathology slides is too poor to allow a reliable diagnosis Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Locations(2)

Nanfang Hospital

Guangzhou, Guangdong, China

Zhujiang Hospital of Southern Medical University

Guangzhou, Guangdong, China

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NCT07330362


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