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Updated: Sep 28, 2025

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Simulator Training for Endovascular Neurosurgery
Published on: May 6, 2020
3.8K
Robotics and Artificial Intelligence in Endovascular Neurosurgery.
Javier Bravo1, Arvin R Wali1, Brian R Hirshman1
1Neurological Surgery, University of California San Diego, San Diego, USA.
Cureus
|April 4, 2022
Summary
Artificial intelligence (AI) and robotics are revolutionizing endovascular neurosurgery. These technologies enhance diagnosis, treatment, training, and outcome prediction for cerebrovascular diseases, promising improved patient care through physician-machine collaboration.
Area of Science:
- Neurosurgery
- Endovascular procedures
- Medical robotics
- Artificial intelligence in medicine
Background:
- Endovascular neurosurgery is a rapidly evolving field.
- The integration of artificial intelligence (AI) and robotics presents new opportunities for neurovascular care.
- A comprehensive review of recent literature is needed to understand current advancements.
Purpose of the Study:
- To review recent literature on AI and robotics in endovascular neurosurgery.
- To provide insights into current advances, applications, and future potential.
- To inform the neurosurgical community about the impact of these technologies.
Main Methods:
- PubMed database search for relevant articles published between January 2016 and August 2021.
- Keywords used: "neurosurgery" OR "endovascular" OR "interventional" AND "robotics" OR "artificial intelligence".
- Inclusion/exclusion criteria applied to 1296 identified articles, resulting in 38 selected manuscripts for analysis.
Main Results:
- 38 manuscripts reviewed, categorized into diagnosis (23), treatment (10), training (2), and outcome prediction (3).
- AI and robotics demonstrate innovation in diagnostic efficiency, treatment optimization, procedural performance, and outcome prediction.
- Robotic systems show safety and efficacy; AI surpasses traditional tools in predicting clinical outcomes.
Conclusions:
- AI and robotics are transforming endovascular neurosurgery, enhancing diagnostic accuracy and treatment efficacy.
- Robotic-assisted procedures and AI-driven simulations improve physician performance and enable access to deeper brain regions.
- The synergy between physicians and machines holds significant promise for advancing neurovascular patient care.

