Bryan W. Cunningham

MedStar Union Memorial Hospital, Georgetown University

Papers

5

Total Citations

46

H-Index

3

About

Bryan W. Cunningham is a leading spine surgeon and researcher whose work sits at the intersection of advanced spinal surgery and cutting-edge technology. His primary research areas include robotic-assisted spinal surgery, computer navigation, and minimally invasive fusion techniques. Cunningham’s major contributions center on validating the safety, accuracy, and clinical outcomes of single-position lateral lumbar interbody fusion (LLIF) with robotic assistance, a procedure that streamlines complex spinal reconstruction. His systematic reviews comparing optoelectronic accuracy in laboratory versus clinical settings have provided foundational data for improving navigational integrity in robotic platforms. With his most-cited paper garnering 18 citations, Cunningham’s work has directly influenced surgical technique considerations and patient safety protocols. He has also explored the integration of intraoperative 3D CT imaging with robotic navigation, demonstrating enhanced accuracy in complex posterior spinal fusions. His investigations into computer-simulated planning and patient-specific 3D-printed cages represent a forward-looking approach to personalized spine surgery. Cunningham’s research is essential reading for surgeons and engineers seeking to understand the real-world performance and limitations of robotic and navigational technologies in spinal care.

Research Focus

Key Achievements

3
H-Index
5
Papers
46
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Single Position Lateral Lumbar Interbody Fusion With Posterior Instrumentation Utilizing Computer Navigation and Robotic Assistance: Retrospective case review and surgical technique considerations
18 citations · 2022
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: MedStar Union Memorial Hospital, Georgetown University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago