About

Ming-Chin Lin is a leading researcher in robotic-assisted neurosurgery and spinal intervention, whose work bridges cutting-edge surgical technology with clinical precision. His primary research areas include robotic stereotactic systems, minimally invasive spine surgery, and computer-navigated instrumentation. Lin’s major contributions center on the clinical adoption and optimization of the ROSA ONE Spine System, where he characterized its learning curve for transpedicular screw placement—a study that has garnered 18 citations and provided essential guidance for surgical teams adopting this technology. He also led a multicenter comparison between robot-assisted and navigation-guided minimally invasive transforaminal lumbar interbody fusion (12 citations), offering critical insights into the relative merits of these advanced techniques. Notably, Lin extended robotic applications beyond the spine to neurosurgery, demonstrating the ROSA system’s utility for spontaneous intracerebral hematoma aspiration and thrombolytic catheter placement (11 citations). His earlier work in robot vision for surface defect detection (5 citations) showcases a foundational interest in robotic perception. With a career marked by high-impact, clinically relevant studies, Lin is shaping the future of precision surgery through rigorous evaluation of robotic systems.

Research Focus

Key Achievements

4
H-Index
4
Papers
46
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Learning Curve of ROSA ONE Spine System for Transpedicular Screw Placement
18 citations · 2022
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Taipei Medical University-Shuang Ho Hospital, Taipei Medical University, Taipei Medical University Hospital, Yuan Ze University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago