Papers
1
Total Citations
9
H-Index
1
About
Lin Yan is a leading researcher at the intersection of virtual reality (VR) and minimally invasive surgery, with a primary focus on robotic catheter training systems for vascular interventional procedures. Their most cited work, "Force feedback-based robotic catheter training system for the vascular interventional surgery" (2016, 9 citations), addresses a critical challenge in medical training: enabling surgeons to develop precise catheter manipulation skills without risking patient safety. By integrating force feedback technology into VR-based simulators, Yan has pioneered methods that allow doctors to practice complex vascular interventions in realistic, risk-free environments. This innovation directly tackles the steep learning curve of traditional minimally invasive surgery, where tactile precision is paramount. While their citation count reflects a specialized but growing field, Yan's contributions are foundational to the emerging discipline of haptic-enabled surgical simulation. Their work bridges engineering and clinical practice, offering a scalable solution for training the next generation of interventional radiologists and cardiologists. As VR and robotics increasingly converge with medicine, Yan's research continues to shape safer, more effective surgical education worldwide.
Research Focus
Key Achievements
Top Papers
- 1