Patrick Gono
Papers
1
Total Citations
4
H-Index
1
About
Patrick Gono is a biomedical engineer and researcher whose work sits at the intersection of robotics, neurosurgery, and laser osteotomy. His primary research focus is the development of advanced, robot-driven laser systems for precise cranial interventions, particularly for stereoelectroencephalography (SEEG) and craniotomy. Gono’s major contribution is the design and validation of a novel cutting strategy for navigated, robot-guided laser craniotomy, which enhances cut-through detection and surgical safety. His 2022 study, "Advanced cutting strategy for navigated, robot-driven laser craniotomy for stereoelectroencephalography: An in Vivo non-recovery animal study," demonstrated the feasibility of using a cold ablation robot-guided laser osteotome with an updated camera system to improve intraoperative precision. While his citation count is still growing—with his most cited paper currently at 4 citations—his work represents a significant step toward minimally invasive, automated cranial surgery. Gono’s research is particularly notable for its translational potential, bridging the gap between robotic engineering and clinical neurosurgery. As a young researcher, his contributions are laying the groundwork for safer, more accurate laser-based bone ablation techniques in the operating room.
Research Focus
Key Achievements
Top Papers
- 1