Erika Negrello
Papers
1
Total Citations
16
H-Index
1
About
Erika Negrello is a researcher at the forefront of surgical simulation and medical robotics, with a primary focus on improving 3D-printed anatomical models for robotic surgery training. Her most cited work, "Toward the improvement of 3D-printed vessels’ anatomical models for robotic surgery training" (2019, 16 citations), addresses a critical gap in pre-operative planning: while Multi-Detector Computed Tomography (MDCT) provides excellent morphological definition of vascular structures, it only highlights blood flow, leaving vessel walls invisible. Negrello’s contributions lie in developing techniques to enhance 3D-printed models that replicate realistic vessel wall properties, thereby enabling more accurate training environments for robotic surgery. This work has significant implications for surgical education, allowing trainees to practice complex procedures on anatomically faithful models before operating on patients. With her research bridging imaging technology and additive manufacturing, Negrello is helping to set new standards for simulation-based training in minimally invasive surgery. Her achievements underscore a commitment to translating cutting-edge imaging data into tangible, high-fidelity tools that improve surgical outcomes and reduce risks in the operating room.
Research Focus
Key Achievements
Top Papers
- 1