Vera Sharashidze

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About

Vera Sharashidze is a pioneering neurosurgical researcher whose work centers on the application of robotic systems in microvascular neurosurgery. Her primary research areas include the feasibility and learning curves of robotic-assisted microanastomoses, with a focus on advancing technical precision in vascular neurosurgery. Her most-cited paper, "Learning Curve of Robotic End-to-Side Microanastomoses" (2024), represents a novel contribution to the field, systematically evaluating the acquisition of robotic skills for delicate microvascular procedures. This work addresses a critical gap in the literature, providing foundational data on how surgeons can integrate robotic platforms into complex vascular tasks. With 3 citations in a short time since publication, her study is already drawing attention from peers exploring the intersection of robotics and neurosurgery. Sharashidze’s research is notable for its practical implications, offering early benchmarks for training and proficiency in robotic microsurgery. Her achievements underscore a commitment to pushing the boundaries of minimally invasive techniques, positioning her as an emerging voice in the evolution of neurosurgical robotics.