Xiaolei Shi

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About

Xiaolei Shi is a pioneering urologic surgeon and researcher at the forefront of integrating artificial intelligence and augmented reality into minimally invasive kidney surgery. His primary research focuses on enhancing surgical precision in partial nephrectomy, particularly for complex renal tumors. Shi’s most impactful work, “Artificial Intelligence Based Augmented Reality Navigation in Minimally Invasive Partial Nephrectomy” (2025, 12 citations), introduces a novel AI-driven navigation system that overlays critical anatomical data onto the surgeon’s field of view, significantly improving tumor resection accuracy while preserving healthy kidney tissue. This contribution addresses a longstanding challenge in nephron-sparing surgery. He also led the multi-institutional ROSULA Collaborative Group analysis on robotic partial nephrectomy for large T2 cystic renal cell carcinoma (2025, 1 citation), demonstrating the feasibility and safety of robotic approaches for advanced tumors. Shi’s work bridges cutting-edge computer science with clinical urology, establishing a new paradigm for image-guided surgery. His research is already shaping next-generation surgical training and intraoperative decision-making, with growing influence in the field of robotic oncology.