Xinya Song

Papers

Total Citations

102

H-Index

About

Xinya Song is a pioneering researcher in the field of robotic-assisted minimally invasive surgery, with a primary focus on developing advanced bronchoscopic and endoscopic systems. Their most notable contribution is the design of a novel robotic bronchoscope system for navigating and biopsying pulmonary lesions, a work that has garnered 95 citations since 2023. This innovation addresses the critical challenge of balancing size and flexibility in transbronchial biopsy sampling, offering a minimally invasive approach with reduced risk for respiratory surgery. Song has also advanced the safety of robotic-assisted spinal endoscopic surgeries through their work on dual-stage semantic segmentation of surgical instruments, a technique that enhances instrument visibility within the narrow, intricate operative region. With a total of over 100 citations across their key publications, Song’s research is shaping the future of precision surgery, making procedures safer and more effective. Their achievements highlight a commitment to overcoming technical barriers in surgical robotics, positioning them as a rising leader in the integration of AI and robotics for clinical applications.