Ben Sainsbury
Papers
3
Total Citations
42
H-Index
2
About
Ben Sainsbury is a researcher specializing in surgical robotics, simulation, and minimally invasive urology, with a focused expertise in Percutaneous Nephrolithotomy (PCNL) — a complex surgical procedure for removing large kidney stones. His work sits at the intersection of medical technology and clinical training, addressing one of the field's most pressing challenges: the steep learning curve associated with PCNL, which requires surgeons to complete between 36 and 60 procedures before achieving proficiency. Sainsbury's most impactful contribution is his 2020 evaluation of the Marion Surgical K181 virtual reality simulator, which has garnered 33 citations and represents a significant step toward safer, more accessible surgical training. Building on this foundation, his 2021 work on multiobjective trajectory tracking explored robotic assistance for guiding flexible tools during PCNL procedures, earning 7 citations. His most recent 2025 research advances ultrasound-based visual servoing for real-time needle tracking, pushing the boundaries of autonomous robotic guidance in clinical settings. Collectively, Sainsbury's research tackles PCNL from multiple angles — simulation, robotics, and imaging — making him a notable emerging voice in the effort to improve both surgical education and patient outcomes in minimally invasive kidney stone treatment.
Research Focus
Key Achievements
Top Papers
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