Eytan Raz

Papers

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About

Dr. Eytan Raz is a pioneering neurointerventional surgeon whose research bridges the frontiers of robotic microsurgery and cerebrovascular disease. His most cited work, "Learning Curve of Robotic End-to-Side Microanastomoses" (2024), represents a landmark contribution to vascular neurosurgery, systematically evaluating the feasibility and skill acquisition required for robotic-assisted microanastomosis—a technically demanding procedure critical for bypass surgeries. This study, already garnering early citations, demonstrates Dr. Raz’s commitment to quantifying surgical innovation and establishing evidence-based training paradigms. Beyond robotics, his broader research portfolio encompasses endovascular treatments for stroke, aneurysms, and arteriovenous malformations, with a focus on improving procedural safety and patient outcomes. Dr. Raz’s work has been instrumental in advancing minimally invasive techniques, and his findings are shaping the next generation of neurointerventional practice. As a clinician-scientist at NYU Langone Health, he continues to push the boundaries of what is possible in microvascular surgery, making him a leading voice in the integration of robotics into neurosurgery.