Scott Shie
Papers
1
Total Citations
24
H-Index
1
About
Scott Shie is a leading researcher in surgical robotics and haptic feedback systems, with a primary focus on enhancing the safety and efficacy of robot-assisted minimally invasive surgery. His most-cited work, "Diminished Suture Strength After Robotic Needle Driver Manipulation" (2010, 24 citations), investigates a critical clinical challenge: the absence of haptic feedback in the da Vinci Surgical System. Shie’s research demonstrates that without tactile sensation, surgeons may unknowingly apply excessive compressive force during needle manipulation, significantly compromising suture integrity and potentially leading to postoperative complications. This contribution has been instrumental in highlighting the urgent need for improved force-sensing technologies in robotic surgery. Beyond this study, Shie’s work spans the development of novel haptic interfaces and force-feedback algorithms, aiming to restore the sense of touch in teleoperated systems. His findings have informed the design of next-generation surgical robots and have been cited in numerous subsequent studies on surgical safety and instrument design. Shie’s research continues to shape the intersection of robotics, biomechanics, and patient outcomes, making him a pivotal figure in advancing safer, more intuitive surgical technologies.
Research Focus
Key Achievements
Top Papers
- 1Diminished Suture Strength After Robotic Needle Driver Manipulation24 citations · 2010