Jingsong Mao
Papers
7
Total Citations
102
H-Index
4
About
Jingsong Mao is a leading researcher in the field of remote vascular interventional surgery robotics, with a focus on enhancing the safety and precision of minimally invasive procedures. His work addresses the critical challenge of protecting interventional doctors from radiation hazards while improving surgical outcomes. Mao’s most-cited paper, “Remote vascular interventional surgery robotics: a literature review” (2022, 59 citations), provides a comprehensive overview of this rapidly evolving field. He has made significant contributions to robotic systems for transcatheter arterial chemoembolization (TACE), including a remote-controlled system with safety protection based on force-sensing and bending feedback (28 citations). Mao also explores precision interventional brachytherapy for malignant tumors and leverages deep learning for real-time detection and tracking of guidewires and catheters. His recent work on lightweight attention networks for guidewire segmentation in fluoroscopic images (2025) demonstrates his ongoing commitment to integrating artificial intelligence with robotic surgery. Through his research, Mao is advancing the next generation of interventional robotics, aiming to reduce radiation exposure, improve accuracy, and expand access to life-saving procedures.
Research Focus
Key Achievements
Top Papers
- 1Remote vascular interventional surgery robotics: a literature review59 citations · 2022
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- 3Remote Vascular Interventional Surgery Robotics: A Literature Review5 citations · 2021
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- 5Remote Vascular Interventional Surgery Robotics: A Review3 citations · 2021
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