Liting Chen
Papers
1
Total Citations
6
H-Index
1
About
Liting Chen is a researcher in surgical robotics and human-computer interaction, with a focus on enhancing the safety and transparency of robotic-assisted procedures. Her most-cited work, "A practical system for recording instrument interactions during live robotic surgery" (2013), introduces a method for capturing and analyzing real-time tool-tissue interactions during da Vinci robot surgeries. This contribution provides a foundational framework for post-operative skill assessment and incident analysis, addressing critical gaps in surgical data logging. With 6 citations, the paper has informed subsequent studies on intraoperative monitoring and ergonomic feedback. Chen’s research bridges engineering and clinical practice, aiming to reduce errors and improve training in minimally invasive surgery. Her work is notable for its practical, deployable design, which has been tested in live surgical settings, offering a scalable solution for data-driven surgical improvement. By enabling detailed recording of instrument movements and forces, Chen contributes to the broader goal of making robotic surgery safer and more reproducible.
Research Focus
Key Achievements
Top Papers
- 1