Tejas Subramanian
Papers
5
Total Citations
75
H-Index
4
About
Tejas Subramanian is a rising leader in the field of spine surgery, with a focused research program on the integration of advanced technologies in minimally invasive lumbar fusion. His work directly compares the clinical efficacy of robotic assistance and 3D navigation, demonstrating that these tools not only improve screw placement accuracy—as shown in a study of 1,210 pedicle screws—but also significantly reduce surgeons' mental workload compared to traditional fluoroscopic techniques. Subramanian has been instrumental in characterizing the learning curve for robotic MI-TLIF, revealing that surgeon experience is a critical factor in optimizing outcomes. His research, which has garnered over 75 citations, also explores how these technologies are perceived by trainees and early-career attendings, addressing the practical implications for surgical education and practice. By quantifying both patient outcomes and surgeon well-being, Subramanian’s work provides a comprehensive, evidence-based framework for the adoption of robotics and navigation in spine surgery, positioning him as a key voice in the future of minimally invasive spinal care.
Research Focus
Key Achievements
Top Papers
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