Manish Beniwal

National Institute of Mental Health and Neurosciences

Papers

Total Citations

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About

Manish Beniwal is a researcher at the intersection of neurosurgery, computer vision, and robotics, with a primary focus on advancing surgical precision and automated skill assessment. His work addresses critical challenges in stereotactic procedures and intra-operative video analysis. In his highly cited 2022 study on automated microsurgical tool segmentation, Beniwal pioneered a computer vision approach to analyze intra-operative neurosurgical videos, offering a solution to the subjective and time-consuming nature of traditional checklist-based surgical skill evaluation. This work, which has garnered 10 citations, demonstrates how automated video analysis can objectively characterize surgical dexterity. Earlier, in his 2019 overview of robotics in functional neurosurgery (6 citations), Beniwal systematically examined the role of stereotactic techniques in high-stakes procedures such as deep brain stimulation, brain biopsies, and epilepsy surgery, emphasizing the need for minimal error and high spatial accuracy. Together, these contributions highlight Beniwal’s commitment to integrating intelligent systems into the operating room, aiming to reduce assessor bias and enhance surgical outcomes through data-driven, automated methodologies.