Stefan Dimou
Papers
1
Total Citations
66
H-Index
1
About
Stefan Dimou is a neurosurgeon and researcher whose work centers on advancing minimally invasive spinal surgery, with a particular focus on the integration of robotic technologies. His major contributions lie in systematically evaluating the safety, accuracy, and learning curve associated with robot-assisted pedicle screw placement in thoracolumbar surgery. His most cited paper, a 2019 study on the learning curve for this procedure (66 citations), provides critical data for surgeons adopting robotic systems, demonstrating that proficiency can be achieved within a defined number of cases. This work has helped establish benchmarks for training and quality assurance in robotic spine surgery. Beyond this, Dimou’s research addresses the practical challenges of translating new surgical technologies into clinical practice, emphasizing patient outcomes and operative efficiency. His findings are widely referenced by spine surgeons and robotics engineers alike, underscoring his impact on the field. Through his rigorous, outcomes-focused approach, Dimou has become a key voice in the evidence-based adoption of robotics in spinal care, helping to shape modern surgical standards.
Research Focus
Key Achievements
Top Papers
- 1