Papers
5
Total Citations
200
H-Index
4
About
Emil Gurshumov is a pioneering researcher in robotic surgery and pelvic reconstructive medicine, whose work has significantly advanced surgical training and patient outcomes. His key research areas include robotic surgical simulation, pelvic organ prolapse repair, and postoperative functional recovery. Gurshumov’s most impactful contribution is his seminal 2013 study on the predictive validity of a robotic surgery simulator, which established expert benchmarks for skill acquisition and demonstrated that simulation can effectively prepare surgeons for live procedures—a finding cited 93 times and widely adopted in surgical education. He also led prospective trials evaluating lightweight polypropylene Y-mesh for robotic sacrocolpopexy, collectively cited over 90 times, showing improved anatomical success and patient-reported outcomes. Notably, his prospective cohort studies on bowel function after robotic sacrocolpopexy (cited 10 times) provided critical insights into postoperative quality of life, addressing a previously understudied aspect of pelvic surgery. Gurshumov’s work bridges the gap between simulation-based training and clinical excellence, offering evidence-based protocols that enhance surgical safety and efficacy. His research remains foundational for surgeons and trainees seeking to optimize robotic techniques and patient care.
Research Focus
Key Achievements
Top Papers
- 1Predictive Validity of a Training Protocol Using a Robotic Surgery Simulator93 citations · 2013
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- 4Prospective Cohort Study of Bowel Function After Robotic Sacrocolpopexy10 citations · 2014
- 5Prospective Cohort Study of Bowel Function after Robotic Sacrocolpopexy3 citations · 2012