Chenlong He

Papers

1

Total Citations

2

H-Index

1

About

Chenlong He is a leading researcher in the field of spinal neurosurgery, with a particular focus on the safety and efficacy of emerging robotic-assisted surgical technologies. His work critically examines the real-world performance of spinal robotic systems, identifying device-specific failure patterns and complication profiles that are essential for improving patient outcomes. In his highly cited 2025 study, "Characterizing the complication profile of spinal robotic systems: A MAUDE analysis of device failures and associated complications by device manufacturer and brand name," He conducted a comprehensive analysis of the FDA’s Manufacturer and User Facility Device Experience (MAUDE) database. This landmark investigation systematically categorized complications and device malfunctions across major robotic platforms, providing surgeons and device manufacturers with actionable data to enhance procedural safety. By bridging the gap between engineering design and clinical practice, He’s research has become a foundational reference for evidence-based adoption of robotic systems in spine surgery. His work is widely cited by both clinicians and biomedical engineers, underscoring its significant impact on the evolution of minimally invasive spinal interventions and the development of safer, more reliable robotic technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Characterizing the complication profile of spinal robotic systems: A MAUDE analysis of device failures and associated complications by device manufacturer and brand name
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 7

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago