NCT07020169

Using 3D Kidney Model Based on Artificial Intelligence to Assist Partial Nephrectomy: A Prospective Validation Study

Artificial Intelligence-Driven 3D Kidney Model for Real-Time Augmented Reality and Surgical Navigation in Minimally Invasive (Robotic/Laparoscopic) Partial Nephrectomy: A Prospective Validation Study

• Status: Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 232 (estimated)
• Sponsor: Shao Pengfei · Academic / Other
• Sex: All
• Age: 18 Years – 80 Years
• Healthy volunteers: Not accepted

Summary

The goal of this study is to develop a real-time artificial intelligence-driven 3D kidney model to assist robotic or laparoscopic partial nephrectomy: • Can this AI-powered model optimize the workflow of partial nephrectomy and enhance surgical benefits?

Detailed description

This study aims to evaluate the feasibility of the AI-based real-time image-guided kidney model system in optimizing partial nephrectomy workflows. Patients scheduled for laparoscopic or robotic-assisted partial nephrectomy will be randomized to receive either AI-assisted surgical navigation (utilizing intraoperative 3D model overlay with automated registration) or conventional approaches. Comparative metrics will include ischemia time, margin positivity rate, and operative efficiency indices. Findings will inform iterative refinement of the system architecture based on clinical performance feedback.

Conditions

• Renal Cell Cancer

Interventions

Type	Name	Description
PROCEDURE	an AI-based real-time image-guided kidney model system	Use the AI-model to locate kidney and tumour, assisting surgeon with the operation

Timeline

• Start date: 2025-05-01
• Primary completion: 2026-09-01
• Completion: 2027-03-01
• First posted: 2025-06-13
• Last updated: 2025-06-13

Locations

2 sites across 1 country: China