Ziyan Chen
Papers
2
Total Citations
9
H-Index
2
About
Ziyan Chen is a rising researcher in robotic surgery and surgical skill assessment, with a focus on advancing remote surgical training and performance evaluation. Their most impactful work, a 2023 study on a remote teaching system for robotic surgery, demonstrated through a randomized controlled trial that telementoring can effectively train surgeons in complex procedures—a critical contribution to expanding access to surgical education. This paper has already garnered 7 citations, signaling its influence in the field. Chen further explores the nuances of surgical proficiency in their 2024 study on skill assessment based on clutch use in cross-platform robot-assisted surgery, offering a novel, objective metric for evaluating operator expertise across different robotic systems. By integrating practical validation with innovative assessment tools, Chen is helping to shape the future of surgical training and telemedicine. Their work holds particular promise for bridging geographical gaps in surgical expertise and standardizing skill evaluation in an era of increasingly diverse robotic platforms.
Research Focus
Key Achievements
Top Papers
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- 2