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About

Sanjoy Roy is a leading researcher in the field of robotic surgery, with a primary focus on surgical learning curves, operative outcomes, and procedural optimization. His most impactful work, a 2019 systematic review on learning curves in robot-assisted surgery (209 citations), has become a foundational reference for understanding surgeon proficiency and training requirements in robotic procedures. This review critically examined how learning curves are defined and measured, highlighting inconsistencies in the literature and providing a framework for future research. Roy also contributed to the comparative analysis of stapling technologies in robotic surgery, evaluating outcomes between endoscopic linear and robotic staplers (24 citations). Additionally, his investigation into the effects of multiple biopsies on nerve-sparing robotic-assisted radical prostatectomy outcomes (22 citations) has informed clinical decision-making in urologic oncology. Through his systematic reviews and clinical studies, Roy has advanced the evidence base for robotic surgical practice, helping to standardize training metrics and improve patient outcomes. His work is widely cited by surgeons, trainees, and researchers seeking to understand and enhance the adoption of robotic technology in the operating room.