Amar Shah
Papers
1
Total Citations
7
H-Index
1
About
Amar Shah is a pioneering researcher at the intersection of neurosurgery and advanced manufacturing, whose work focuses on integrating 3D printing and robotic technologies to enhance surgical precision and safety. His major contribution lies in demonstrating how 3D-printed anatomical models can be used for preoperative rehearsal with the Robotic Surgical Assistant (ROSA™), a frameless stereotactic robotic platform. This innovation facilitates the introduction of complex robotic equipment into clinical practice, reducing the learning curve and improving procedural outcomes. His most-cited paper, "Robotic Surgical Assistant (ROSA™) Rehearsal: Using 3-Dimensional Printing Technology to Facilitate the Introduction of Stereotactic Robotic Neurosurgical Equipment" (2019), has garnered 7 citations, reflecting its niche but growing impact in the field. Shah’s work is notable for bridging engineering and medicine, offering a practical solution to a critical challenge in neurosurgery: the safe adoption of sophisticated robotic systems. His research not only advances surgical training but also sets a foundation for personalized, simulation-driven approaches in stereotactic procedures, making him a key figure in the evolution of robotic neurosurgery.
Research Focus
Key Achievements
Top Papers
- 1