Madhava Pai Kanhangad

Manipal Academy of Higher Education

Papers

7

Total Citations

35

H-Index

3

About

Madhava Pai Kanhangad is an emerging spine surgeon and researcher whose work sits at the forefront of robotic-assisted spinal surgery. Based primarily in India, his research focuses on the precision, safety, and clinical adoption of robotic navigation systems for complex spinal procedures, with a particular emphasis on pedicle screw placement across the thoracolumbar and cervical spine. His most cited works—garnering 12 and 11 citations respectively within a year of publication—investigate how robotic assistance can overcome the steep learning curve traditionally associated with spinal instrumentation, demonstrating that robotic systems can surpass freehand and fluoroscopy-guided techniques in screw accuracy regardless of surgeon experience level. Notably, his prospective study of 750 cases and 3,924 screws represents one of the largest single-center evaluations of pinless robotic spine surgery published from India, establishing feasibility benchmarks for resource-diverse settings. His contributions extend to technically demanding procedures including S2 alar-iliac spinopelvic fusions, robotic-assisted kyphoplasty, and cervical pedicle screw placement—areas where surgical error carries serious neurological consequences. Through rigorous prospective and retrospective analyses, Kanhangad is helping define the evidence base that will shape how robotic spine surgery is trained, standardized, and scaled globally.

Research Focus

Key Achievements

3
H-Index
7
Papers
35
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Flattening the learning curve – Early experience of robotic-assisted pedicle screw placement in spine surgery
12 citations · 2024
📈 Most Prolific Year: 2025 (5 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Manipal Academy of Higher Education

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago