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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?
Full 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.
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Interventional model
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232 participants in 2 patient groups
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Central trial contact
Haoqi Miao, Postgraduate; Pengfei Shao, Professor
Data sourced from clinicaltrials.gov
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