Vignesh Subbian

University of Cincinnati

Papers

3

Total Citations

50

H-Index

3

About

Vignesh Subbian is a pioneering researcher at the intersection of biomedical engineering, emergency medicine, and health informatics. His work focuses on developing and deploying novel technologies to improve the diagnosis and management of mild traumatic brain injury (mTBI) in high-pressure clinical environments like emergency departments. Subbian’s major contribution lies in demonstrating the feasibility of integrating robotic assessment tools into busy, resource-constrained EDs to objectively evaluate neuromotor performance following injury. His highly cited research, including studies with 24 and 16 citations, shows that robotic technology can predict which mTBI patients will develop post-concussion symptoms (PCS)—a critical advance since no validated clinical method previously existed. By providing quantitative, real-time assessments, his work addresses the longstanding challenge of identifying high-risk patients at the point of injury, potentially transforming concussion care from subjective symptom reporting to objective, data-driven evaluation. Subbian’s innovative approach bridges engineering and clinical practice, offering a scalable solution for improving outcomes in traumatic brain injury.

Research Focus

Key Achievements

3
H-Index
3
Papers
50
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Integration of New Technology for Research in the Emergency Department: Feasibility of Deploying a Robotic Assessment Tool for Mild Traumatic Brain Injury Evaluation
24 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Cincinnati

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago