Ankur Baheti

State University of New York, University at Buffalo, State University of New York

Papers

Total Citations

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About

Ankur Baheti is a leading researcher in the field of surgical robotics and medical simulation, with a primary focus on enhancing training methodologies for complex surgical systems. His most significant contributions center on the development and validation of the Robotic Surgical Simulator (RoSS), a virtual reality platform designed to train surgeons on the da Vinci Surgical System. Baheti’s pioneering work addresses the critical challenge of mastering the da Vinci system’s lack of force feedback and need for dexterous hand movement, offering a two-handed, 6-degree-of-freedom virtual environment for safe, repetitive practice. His 2010 study, “Can Image-Based Virtual Reality Help Teach Anatomy?” (39 citations), demonstrated RoSS’s efficacy in improving surgical anatomy training and pattern recognition among trainees, from medical students to residents. The foundational 2008 paper on RoSS (25 citations) established the simulator as a viable educational tool, bridging the gap between theoretical knowledge and hands-on surgical skill. Baheti’s work has directly impacted surgical education by providing a risk-free, immersive training solution, making him a key figure in advancing patient safety and surgical proficiency through innovative simulation technology.