Nhat Tran
Papers
1
Total Citations
22
H-Index
1
About
Nhat Tran is a pioneering researcher in the field of surgical robotics, with a primary focus on micro-scale interventions for ophthalmic procedures. His work centers on advancing robot-assisted retinal surgery, particularly the delicate task of retinal vein cannulation—a procedure that injects therapeutic agents into occluded retinal veins to treat vascular occlusions. Tran’s major contribution lies in developing force-based puncture detection systems that enhance the precision and safety of this high-stakes operation. His landmark 2016 study, which has garnered 22 citations, directly compared two leading robotic platforms—Micron and the Steady-Hand Eye Robot—demonstrating how real-time force feedback can reliably identify the moment of venous puncture, a critical challenge that has historically limited the feasibility of cannulation. By addressing the difficulties of achieving and maintaining cannulation during drug delivery, Tran’s work bridges the gap between robotic capability and clinical need, offering a pathway to safer, more effective treatments for retinal vein occlusion. His research exemplifies the integration of haptic sensing and robotic control, positioning him as a key innovator in translating surgical robotics from the lab to the operating room.
Research Focus
Key Achievements
Top Papers
- 1