Sridhar Karimpuzha
Papers
1
Total Citations
12
H-Index
1
About
Sridhar Karimpuzha is a researcher whose work lies at the intersection of surgical robotics, simulation, and urological innovation. His most cited study, "Efficacy of Robotic Surgery Simulator (ROSS) for the da Vinci® Surgical System" (2009), is a landmark contribution to the validation of virtual-reality training tools for robotic-assisted surgery. Co-authored with leading experts, this work demonstrated that structured simulation could effectively prepare surgeons for the da Vinci platform—a finding that has shaped modern surgical education and safety protocols. With 12 citations, the paper remains a reference point for studies on robotic skill acquisition. Karimpuzha’s research addresses a critical need: bridging the gap between novice and expert performance in high-stakes, minimally invasive procedures. By helping to validate the ROSS simulator, he contributed to a paradigm where surgeons can practice complex maneuvers without risk to patients. His work underscores the importance of evidence-based training in the era of robotic surgery, influencing both curriculum design and device development. For students and researchers in surgical robotics, Karimpuzha’s contributions offer a clear example of how simulation science can directly improve clinical outcomes and patient safety.
Research Focus
Key Achievements
Top Papers
- 1