Papers
1
Total Citations
120
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1
About
Daniela Redaelli is a leading biomedical engineer whose research focuses on advancing robot-assisted neurosurgery, particularly in the domain of stereoelectroencephalography (SEEG) for epilepsy treatment. Her major contributions center on developing and validating novel registration technologies that eliminate the need for invasive head frames, thereby improving patient safety and surgical workflow. Her landmark study, which introduced the Neurolocate frameless registration system, demonstrated through a 40-trajectory phantom study and a 127-trajectory retrospective surgical series that touch-free registration achieves application accuracy comparable to traditional frame-based methods. This work, cited over 120 times, has been instrumental in shifting clinical practice toward less invasive, more comfortable procedures for patients undergoing intracranial surgery. Redaelli’s research bridges the gap between engineering innovation and clinical application, directly impacting the precision and accessibility of robot-assisted interventions. Her achievements underscore her role as a key figure in the evolution of image-guided neurosurgery, where her contributions continue to influence both device development and surgical protocols.
Research Focus
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Top Papers
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