NCT07304492

AI for Renal Tumors Using Non-Contrast CT

An Artificial Intelligence Model for Screening and Diagnosis of Renal Tumors Based on Non-Contrast CT

• Status: Not Yet Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 10,000 (estimated)
• Sponsor: Fudan University · Academic / Other
• Sex: All
• Age: 18 Years – 80 Years
• Healthy volunteers: —

Summary

The goal of this observational study is to learn whether the artificial intelligence method can automatically identify and diagnose renal lesions using non-contrast CT or opportunistic screening.

Detailed description

This study first establishes an AI model capable of effectively detecting and diagnosing kidney lesions based on a multicenter retrospective cohort study. Then, the AI model is applied to a large-scale real-world retrospective and prospective population to validate and improve its effectiveness.

Conditions

• Renal Neoplasms
• Renal Cyst

Timeline

• Start date: 2026-01-01
• Primary completion: 2028-12-01
• Completion: 2028-12-01
• First posted: 2025-12-26
• Last updated: 2025-12-26

Locations

1 site across 1 country: China