About

Dr. Vejay N. Vakharia is a pioneering neurosurgeon and researcher whose work sits at the intersection of stereotactic neurosurgery, medical robotics, and 3D-printed surgical innovation. His primary research focuses on improving the precision and safety of intracranial electrode placement for epilepsy surgery, specifically through stereoelectroencephalography (SEEG). Dr. Vakharia’s landmark meta-analysis on the accuracy of SEEG electrode placement (143 citations) established a critical benchmark for the field, systematically evaluating the risks and reliability of this complex procedure. He has been a leading voice in the comparative assessment of robotic versus manual implantation techniques, authoring a seminal single-centre, single-blinded randomised controlled trial (37 citations) that provided rigorous, prospective evidence on the efficacy of robotic trajectory guidance devices. Beyond epilepsy, Dr. Vakharia has advanced spinal surgery through the design and validation of patient-specific 3D-printed surgical guides for pedicle screw insertion in deformities like scoliosis. His work on cumulative summation (CUSUM) analysis for novel medical devices (19 citations) demonstrates a commitment to patient safety and quality assurance during the introduction of new technologies. With a career defined by rigorous systematic reviews, bibliometric analyses, and controlled trials, Dr. Vakharia is shaping the future of minimally invasive, robot-assisted neurosurgery.

Research Focus

Key Achievements

6
H-Index
6
Papers
318
Total Citations
53
Avg Citations/Paper
🏆 Most Cited Paper
Accuracy of intracranial electrode placement for stereoelectroencephalography: A systematic review and meta‐analysis
143 citations · 2017
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: National Hospital for Neurology and Neurosurgery, Wellcome / EPSRC Centre for Interventional and Surgical Sciences, Chalfonts and Gerrards Cross Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago