Amir Hossein Saveh

Shahid Beheshti University of Medical Sciences, Islamic Azad University, Science and Research Branch

Papers

Total Citations

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About

Amir Hossein Saveh is a biomedical engineer whose research advances the precision and safety of spinal surgery through innovative template design and teleoperation systems. His work centers on improving pedicle screw placement—a critical procedure in scoliosis correction—by developing patient-specific surgical guides and human-guided robotic systems that reduce the risk of screw misplacement inherent in traditional fluoroscopic methods. His most cited paper, "A medium invasiveness multi-level patient’s specific template for pedicle screw placement in the scoliosis surgery" (2017, 24 citations), introduces a novel template that balances invasiveness with accuracy, offering a practical solution for complex spinal deformities. Saveh further explores the integration of force estimation algorithms in delayed nonlinear bilateral teleoperation systems (2017, 5 citations), enhancing transparency and control during remote surgery. His 2018 study on a new template and teleoperation system for human-guided spine surgery (9 citations) addresses surgeon fatigue and procedural risk, pushing toward safer, more intuitive surgical workflows. By combining mechanical design, control theory, and clinical application, Saveh contributes to the next generation of computer-assisted orthopedic surgery, where patient-specific planning and robotic assistance converge to improve outcomes.