Fabio Pozzi
Papers
1
Total Citations
18
H-Index
1
About
Fabio Pozzi is a pioneering researcher in the field of surgical robotics, with a focused expertise in hybrid robotic systems for minimally invasive endoscopic procedures. His work primarily advances the intersection of robotic engineering and neurosurgery, specifically targeting skull base surgery—a domain demanding extreme precision and dexterity. Pozzi’s major contribution is the development and preclinical evaluation of hybrid robotic platforms that combine rigid and flexible robotic elements, enabling surgeons to navigate complex anatomical corridors with enhanced control and reduced trauma. His most-cited paper, "Hybrid Robotics for Endoscopic Skull Base Surgery: Preclinical Evaluation and Surgeon First Impression" (2019, 18 citations), provides critical early validation of these systems, demonstrating their feasibility and potential to improve surgical outcomes. This work has garnered attention for its practical impact, offering the first surgeon impressions that bridge laboratory innovation and clinical application. Pozzi’s research is notable for its translational focus, directly addressing the challenges of real-world surgery. His contributions are shaping the next generation of robotic tools, promising safer, more effective treatments for patients with skull base pathologies.
Research Focus
Key Achievements
Top Papers
- 1