Artificial Intelligence Model for Renal Allograft Rejection Identification, Lesion Quantification and Rejection Risk Prediction Based on Prospective Renal Transplant Pathology and Clinical Multidimensional Data
Artificial Intelligence Model for Renal Allograft Rejection Identification, Lesion Quantification and Rejection Risk Prediction Based on Prospective Renal Transplant Pathology and Clinical Multidimensional Data
Active, not recruiting · NCT07741552 · Registry updated 2026-08-03Clinical trials
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| Trial | Conditions | Status | Phase | Updated | More info | NCT ID |
|---|---|---|---|---|---|---|
| Artificial Intelligence Model for Renal Allograft Rejection Identification, Lesion Quantification and Rejection Risk Prediction Based on Prospective Renal Transplant Pathology and Clinical Multidimensional Data | DNA Virus Infections, Female Urogenital Diseases, Female Urogenital Diseases and Pregnancy Complications, Infections, Male Urogenital Diseases, Urogenital Diseases, glomerulonephritis, kidney disorder, nephritis, polyomavirus infectious disease, urinary system disorder, viral infectious disease | Active, not recruiting | Not stated | 2026-08-03 | NCT07741552 |
1 results · Page 1 of 1
Organizations
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| Organizations | Linked trials |
|---|---|
| Chen Dajin | 1 |
1 results · Page 1 of 1
Research sites
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| Research sites | City | Country | Linked trials |
|---|---|---|---|
| The First Affiliated Hospital, Zhejiang University School of Medicine | Hangzhou | China | 29 |