About

Yi Shi is a prominent urological surgeon and researcher whose work sits at the intersection of robotic surgery, surgical education, and bladder cancer management. His most influential contributions center on the development and validation of simulation-based training curricula for robotic surgery, most notably the Fundamental Skills of Robotic Surgery (FSRS) program — a multi-institutional randomized controlled trial that has garnered 185 citations and established a gold standard for assessing robotic surgical competency. Building on this, Shi pioneered the use of augmented reality in surgical training, demonstrating through rigorous randomized trials that AR-based modules can meaningfully accelerate skills acquisition in complex procedures such as urethrovesical anastomosis. Beyond surgical education, Shi has made substantial contributions to the clinical outcomes literature on robot-assisted radical cystectomy (RARC), examining readmission rates, quality of life, and efficacy in advanced bladder cancer through the International Radical Cystectomy Consortium. His work on chemotherapy utilization patterns and nomogram validation for bladder cancer survival further reflects a commitment to improving evidence-based oncologic care. With a body of work exceeding 600 cumulative citations, Shi's research has meaningfully shaped both how robotic surgeons are trained and how bladder cancer patients are treated worldwide.

Research Focus

Key Achievements

11
H-Index
14
Papers
694
Total Citations
50
Avg Citations/Paper
🏆 Most Cited Paper
Fundamental Skills of Robotic Surgery: A Multi-institutional Randomized Controlled Trial for Validation of a Simulation-based Curriculum
185 citations · 2013
📈 Most Prolific Year: 2013 (7 Papers)
🤝 Key Collaborators: 87
🏛 Institutions: Roswell Park Comprehensive Cancer Center, King's College London, University at Buffalo, State University of New York, Shanghai University of Traditional Chinese Medicine, Shanghai Ninth People's Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago