Krishna Moorthy
Papers
9
Total Citations
938
H-Index
9
About
Krishna Moorthy is a pioneering figure in robotic surgery, whose foundational work has shaped the modern understanding of surgical skill acquisition and human-machine interaction. His research centers on the objective assessment of surgical performance, the ergonomic benefits of robotic systems, and the clinical translation of telemanipulator technology. Moorthy’s landmark 2004 study on dexterity enhancement with robotic surgery (324 citations) demonstrated how master-slave systems could overcome the limitations of traditional laparoscopy, while his analysis of the learning curve for the da Vinci system (173 citations) provided the first quantitative framework for training surgeons on robotic platforms. His work on stereoscopic vision (161 citations) proved that 3D visualization significantly improves performance on bench models, a finding that underpins modern robotic system design. As a key contributor to the seminal review "Robotics in Surgery" (82 citations) and through early UK clinical series on robotic rectopexy, adrenalectomy, and Heller cardiomyotomy, Moorthy helped establish the evidence base for robotic-assisted procedures. His development of the ROVIMAS software package (30 citations) for assessing surgical skills represents an early, innovative approach to objective competency measurement. With over 900 cumulative citations, Moorthy’s legacy lies in rigorously proving that robotic systems not only enhance surgical dexterity but also require structured training—a principle now central to surgical education worldwide.
Research Focus
Key Achievements
Top Papers
- 1Dexterity enhancement with robotic surgery324 citations · 2004
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- 4Robotic assisted rectopexy94 citations · 2003
- 5Robotics in Surgery82 citations · 2003
- 6Robot‐assisted laparoscopic adrenalectomy: preliminary UK results42 citations · 2004
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- 8Robot-Assisted Laparoscopic Heller Cardiomyotomy: Preliminary UK Results21 citations · 2004
- 9General Papers 1011 citations · 2002