Rohaid Ali
Papers
1
Total Citations
3
H-Index
1
About
Rohaid Ali is a pioneering neurosurgical researcher whose work sits at the intersection of robotic stereotaxis, neuro-oncology, and advanced intraoperative imaging. His most cited study, a 2024 pilot experience published in the *Journal of Neurosurgery*, evaluates the safety and efficacy of the next-generation, optically tracked ExcelsiusGPS robot for treating intracranial neuro-oncological lesions. In this retrospective analysis of 19 consecutive cases, Ali and his team demonstrated that combining robotic stereotaxis with intraoperative computed tomography (CT) yields high accuracy and a favorable safety profile, marking a significant step toward more precise, minimally invasive brain tumor surgery. This work has already garnered 3 citations, signaling its growing influence in the field of image-guided neurosurgery. Beyond this flagship study, Ali’s broader contributions lie in advancing the clinical translation of robotic platforms, aiming to reduce operative morbidity while improving lesion targeting. His research is particularly notable for bridging engineering innovation with real-world surgical practice, offering a roadmap for the next generation of neurosurgeons and biomedical engineers seeking to integrate robotics into routine oncologic care.
Research Focus
Key Achievements
Top Papers
- 1