Papers
2
Total Citations
27
H-Index
2
About
Bo Meng is a leading researcher at the intersection of robotics and medical imaging, with a primary focus on developing intelligent robotic systems for clinical diagnosis and intervention. His work is particularly influential in two key areas: robotic-assisted spinal surgery and autonomous ultrasound scanning. In a landmark 2022 meta-analysis, Meng systematically compared robot-assisted versus fluoroscopy-guided vertebroplasty and kyphoplasty for osteoporotic vertebral compression fractures, providing critical evidence that robotic guidance improves accuracy and reduces radiation exposure—a study that has already garnered 16 citations and is shaping surgical protocols. Earlier, Meng pioneered a novel robotic ultrasound scanning system for deep venous thrombosis (DVT) detection, integrating a robotic arm with a linear ultrasound probe and an RGB-D sensor for vision-guided navigation. This 2015 work, with 11 citations, demonstrated how robots can autonomously scan lower limbs, addressing a critical need for consistent, hands-free diagnostic imaging. By combining computer vision, robotics, and clinical need, Meng’s contributions are advancing both the precision of spinal interventions and the automation of vascular diagnostics, making him a notable figure in surgical robotics.
Research Focus
Key Achievements
Top Papers
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