Jiangwei Shen
Papers
2
Total Citations
9
H-Index
2
About
Jiangwei Shen is a researcher advancing the frontiers of robot-assisted head and neck surgery, with a focus on developing intelligent tools for minimally invasive transoral procedures. His work addresses the critical challenge of tissue retraction—a complex task involving delicate contact between surgical instruments and soft tissue that has historically resisted robotic automation. Shen’s major contributions include the design of a novel force-sensing retractor for robot-assisted transoral surgery, which integrates real-time force feedback to enable safer, more precise tissue manipulation. His 2022 paper on this device has garnered 6 citations, while his related work on robot-assisted retraction for transoral surgery has earned 3 citations, reflecting growing interest in his solutions. By tackling the non-trivial modeling of retractor-tissue interaction, Shen is helping to expand the role of robotics in head and neck surgery, where space constraints and tissue sensitivity demand exceptional control. His achievements mark a meaningful step toward making robotic assistance more versatile and effective in complex surgical environments.
Research Focus
Key Achievements
Top Papers
- 1A force-sensing retractor for robot-assisted transoral surgery6 citations · 2022
- 2Robot-Assisted Retraction for Transoral Surgery3 citations · 2022