Giuseppe Loggia
Papers
3
Total Citations
11
H-Index
2
About
Giuseppe Loggia is a leading voice in the rapidly evolving field of robotic-assisted (RA) spine surgery, with a focused expertise in enhancing the safety, accuracy, and sensory feedback of minimally invasive spinal procedures. His major contributions center on identifying and mitigating critical complications, as demonstrated in his most-cited work, "Identification of Potential Pitfalls and Complication Avoidance in Robotic-Assisted Spine Surgery" (6 citations), which serves as an essential guide for surgeons adopting this technology. Loggia has also pioneered the integration of advanced imaging, proving the feasibility and accuracy of using CT-like 3D-MRI for robotic thoracic pedicle screw placement (3 citations), a breakthrough that reduces radiation exposure. Addressing a key limitation of robotic systems, his research on visuohaptic feedback (2 citations) explores novel methods to restore the tactile sensation lost in minimally invasive approaches. Through these high-impact studies, Loggia is not only refining current surgical techniques but also shaping the next generation of intelligent, sensor-rich spinal navigation systems, making him a pivotal researcher for students and clinicians interested in the future of precision spine surgery.
Research Focus
Key Achievements
Top Papers
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