Papers
1
Total Citations
120
H-Index
1
About
Maurizio Sberna is a leading figure in the advancement of robot-assisted neurosurgery, with a primary focus on stereoelectroencephalography (SEEG) and frameless registration techniques. His most impactful contribution is the development and validation of the Neurolocate system, a touch-free patient registration tool designed to enhance precision in robot-assisted intracranial surgery. In a landmark 2017 study cited over 120 times, Sberna demonstrated through both phantom and retrospective surgical series that the Neurolocate system achieves application accuracy comparable to traditional frame-based registration, while eliminating the need for invasive head frames. This work has significantly improved patient comfort and surgical workflow in SEEG procedures. Beyond this core achievement, Sberna's research portfolio spans surgical robotics, image-guided neurosurgery, and clinical translation of novel registration technologies. His contributions have been instrumental in making frameless, robot-assisted SEEG a viable and accurate alternative to conventional methods, influencing both clinical practice and subsequent device development. With over 120 citations on his signature paper alone, Sberna's work continues to shape the field of minimally invasive neurosurgery.
Research Focus
Key Achievements
Top Papers
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