Shaya Shahsavarani

Northwell Health, SUNY Upstate Medical University

Papers

Total Citations

H-Index

About

Shaya Shahsavarani is a rising force in orthopaedic surgery research, with a sharp focus on the precision and outcomes of robotic-assisted procedures. His work critically examines how cutting-edge technology can enhance surgical accuracy in both spinal and joint arthroplasty. In his highly cited 2024 systematic review and meta-analysis, Shahsavarani evaluated the accuracy of robotic-assisted versus fluoroscopic-guided pedicle screw placement in spinal fusion, synthesizing evidence to show that robotic guidance can significantly improve screw placement precision—a vital contribution to reducing surgical complications. Building on this, his 2025 study on robotic-assisted total knee arthroplasty (TKA) explores how preoperative planning with robotic systems may allow for smaller polyethylene liner sizes while safely removing existing hardware, preserving bone stock in complex revision cases. Though early in his career, Shahsavarani’s work has already garnered attention, with his top papers accumulating over a dozen citations. His research stands at the intersection of surgical innovation and patient safety, offering compelling data that supports the adoption of robotic assistance in orthopaedics. For students and clinicians alike, Shahsavarani’s work provides a clear, evidence-based roadmap for the future of precision joint replacement and spinal surgery.