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Artificial Intelligence Based Augmented Reality Navigation in Minimally Invasive Partial Nephrectomy.

Xiaolei Shi¹, Bo Yang¹, Fei Guo¹

¹Department of Urology, Shanghai Changhai Hospital, Shanghai 200433, China.

|February 26, 2025

Summary

Artificial intelligence (AI) augmented reality (AR) real-time navigation standardizes renal hilum dissection in partial nephrectomy, reducing exposure time, especially in complex cases. This AI-driven approach enhances surgical efficiency with comparable outcomes and low complication rates.

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Area of Science:

Surgical Technology
Medical Imaging
Artificial Intelligence

Background:

Minimally invasive partial nephrectomy requires precise renal hilum dissection.
Standardizing dissection techniques and improving operative efficiency remain challenges.

Purpose of the Study:

To evaluate artificial intelligence (AI) based augmented reality (AR) intraoperative real-time navigation for standardizing renal hilum dissection.
To assess the impact of AI-AR navigation on operative efficiency and outcomes in partial nephrectomy.

Main Methods:

Created 3D models from CT scans, projecting them as AR overlays using AI auto-matching for real-time guidance.
Performed robotic-assisted and laparoscopic partial nephrectomies with and without AR navigation.
Developed and applied a renal hilum difficulty score to assess anatomical complexity.

Main Results:

AI-AR navigation significantly reduced renal hilum exposure time, particularly in complex cases.
Operative time, ischemia time, blood loss, and complication rates were comparable between groups.
No significant differences were observed in hospital stay, pathology, or stage.

Conclusions:

AI-based intraoperative navigation provides a surgical roadmap for standardized renal hilum dissection.
This technology helps avoid time-consuming dissections and reduces complications.
AI-AR navigation shows promise for improving efficiency and safety in partial nephrectomy.