Papers
19
Total Citations
322
H-Index
9
About
Bobby Shayegan is a urological surgeon and researcher whose work sits at the intersection of robotic surgery, surgical oncology, and health technology assessment. Based at a Canadian academic centre, he has built a distinguished body of research focused primarily on robot-assisted radical prostatectomy (RARP) for prostate cancer, exploring everything from surgical technique and outcomes to training, economics, and population-level safety. His most influential contribution applies machine learning to predict early biochemical recurrence following RARP, a landmark 2018 study that has garnered over 100 citations and helped pioneer artificial intelligence integration in urologic oncology. Shayegan has also advanced the field through rigorous systematic reviews and meta-analyses comparing surgical approaches, evaluating same-day discharge protocols, and critically assessing the economic value of robotic platforms — work particularly relevant to Canada's publicly funded healthcare system. Beyond clinical outcomes, he has contributed meaningfully to surgical education, examining how virtual reality simulators can accelerate trainee skill acquisition. His population-based analyses of robotic surgery adoption and adverse events provide rare real-world evidence that informs both policy and practice. Collectively, Shayegan's research — spanning nearly 300 aggregate citations — reflects a comprehensive, evidence-driven approach to advancing safe, effective, and economically sound robotic surgical care.
Research Focus
Key Achievements
Top Papers
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- 6The evolving use of robotic surgery: a population-based analysis18 citations · 2022
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- 8Adverse events following robotic surgery: population-based analysis13 citations · 2022
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