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
Sex
ALL
Min age
15 Years
Max age
79 Years
Healthy volunteers
No
Inclusion Criteria:
1. Voluntary signing of informed consent form;
2. Patients clinically diagnosed or suspected of having chronic kidney disease according to the 2023 KDIGO Clinical Practice Guideline for the Evaluation and Management of Kidney Disease;
3. Undergoing renal biopsy and pathological specimen preparation.
Exclusion Criteria:
1. Biopsy tissue from donor kidney or transplanted kidney;
2. Poor quality of pathological specimen, unable to conduct pathological diagnosis.
Primary outcome measure(s)
The area under curve (AUC) of Receiver Operating Characteristic (ROC) curves of the TEM-AID artificial intelligence model — baseline The area under curve (AUC) of Receiver Operating Characteristic (ROC) curves of the TEM-AID artificial intelligence model for candidates will be calculated.
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
We use cookies to analyse site traffic and improve your experience. With your consent, we may also use cookies for advertising. You can change your choice at any time on our Cookie Policy page. See also our Privacy Policy.