Ryan Song

Cleveland Clinic Lerner College of Medicine

Papers

1

Total Citations

3

H-Index

1

About

Ryan Song is a pioneering researcher in the field of stereotactic neurosurgery, with a primary focus on advancing stereoelectroencephalography (sEEG) techniques for epilepsy treatment. His most significant contribution lies in the development and validation of a novel, noninvasive fiducial attachment for stereotactic robotic-guided sEEG, which enhances the precision and safety of intracranial electrode placement. This innovation, detailed in his 2024 case series, addresses a critical need for improved registration accuracy in epilepsy surgery, offering a practical solution that increases the number of fixed reference points without requiring invasive procedures. While his work has garnered early recognition with 3 citations, its clinical relevance is underscored by its potential to reduce surgical risks and improve outcomes for patients with drug-resistant epilepsy. Song’s research bridges engineering and clinical practice, demonstrating a commitment to translating technical advancements into tangible patient benefits. His work represents a meaningful step forward in noninvasive neurosurgical registration, positioning him as an emerging leader in the refinement of stereotactic techniques for complex neurological disorders.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Validation and Safety Profile of a Novel, Noninvasive Fiducial Attachment for Stereotactic Robotic-Guided Stereoelectroencephalography: A Case Series
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Cleveland Clinic Lerner College of Medicine

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago