Eleanor Gutstadt

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About

Dr. Eleanor Gutstadt is a pioneering neurosurgeon whose work sits at the intersection of robotics and microvascular neurosurgery. Her research focuses on establishing the feasibility and learning curves of robotic platforms for delicate microanastomoses—a critical step in advancing minimally invasive vascular neurosurgery. Her most-cited paper, "Learning Curve of Robotic End-to-Side Microanastomoses" (2024, 3 citations), represents a foundational contribution to this emerging field. In this work, Dr. Gutstadt systematically evaluates the technical demands and skill acquisition required for surgeons to master robotic microvascular techniques, providing essential data that bridges the gap between robotic technology and clinical application in vascular neurosurgery. This study is notable for being among the first to quantify the learning curve for robotic end-to-side anastomoses, offering a roadmap for training and adoption. Though early in her career, Dr. Gutstadt's work is already shaping how neurosurgeons approach complex vascular procedures, with implications for improving precision, reducing tremor, and expanding access to advanced microsurgical care. Her research promises to redefine the standards of practice in vascular neurosurgery.