Papers
10
Total Citations
338
H-Index
7
About
Jinxin Cui is a pioneering researcher in the field of vascular interventional surgical robotics, focusing on the development of intelligent, master-slave robotic systems for treating cardiovascular and cerebrovascular diseases. His major contributions include the design and human evaluation of a novel remote-controlled vascular interventional robot (103 citations), and the creation of a CNN-based prototype for unstructured surgical state perception and navigation (88 citations), which enables robots to autonomously interpret complex surgical environments. Cui has also advanced machine learning–based operation skills assessment, introducing a vascular difficulty index to objectively evaluate surgeon proficiency (48 citations), and developed noncontact detection methods for surgeon’s operations (46 citations) to enhance safety and precision. His work on physiological tremor recognition algorithms and force/torque identification models further improves robot accuracy during delicate procedures. With over 300 total citations across his top papers, Cui’s research bridges robotics, computer vision, and machine learning to transform endovascular surgery, making procedures safer, more consistent, and more accessible. His achievements position him as a key innovator in surgical robotics, with direct implications for improving patient outcomes and training the next generation of surgeons.
Research Focus
Key Achievements
Top Papers
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