Robotics and Artificial Intelligence in Endovascular Neurosurgery.

ai and machine learning artificial intelligence computer-assisted diagnosis endovascular neurosurgery robotics

Journal

Cureus
ISSN: 2168-8184
Titre abrégé: Cureus
Pays: United States
ID NLM: 101596737

Informations de publication

Date de publication:
Mar 2022
Historique:
accepted: 30 03 2022
entrez: 4 4 2022
pubmed: 5 4 2022
medline: 5 4 2022
Statut: epublish

Résumé

The use of artificial intelligence (AI) and robotics in endovascular neurosurgery promises to transform neurovascular care. We present a review of the recently published neurosurgical literature on artificial intelligence and robotics in endovascular neurosurgery to provide insights into the current advances and applications of this technology. The PubMed database was searched for "neurosurgery" OR "endovascular" OR "interventional" AND "robotics" OR "artificial intelligence" between January 2016 and August 2021. A total of 1296 articles were identified, and after applying the inclusion and exclusion criteria, 38 manuscripts were selected for review and analysis. These manuscripts were divided into four categories: 1) robotics and AI for the diagnosis of cerebrovascular pathology, 2) robotics and AI for the treatment of cerebrovascular pathology, 3) robotics and AI for training in neuroendovascular procedures, and 4) robotics and AI for clinical outcome optimization. The 38 articles presented include 23 articles on AI-based diagnosis of cerebrovascular disease, 10 articles on AI-based treatment of cerebrovascular disease, two articles on AI-based training techniques for neuroendovascular procedures, and three articles reporting AI prediction models of clinical outcomes in vascular disorders of the brain. Innovation with robotics and AI focus on diagnostic efficiency, optimizing treatment and interventional procedures, improving physician procedural performance, and predicting clinical outcomes with the use of artificial intelligence and robotics. Experimental studies with robotic systems have demonstrated safety and efficacy in treating cerebrovascular disorders, and novel microcatheterization techniques may permit access to deeper brain regions. Other studies show that pre-procedural simulations increase overall physician performance. Artificial intelligence also shows superiority over existing statistical tools in predicting clinical outcomes. The recent advances and current usage of robotics and AI in the endovascular neurosurgery field suggest that the collaboration between physicians and machines has a bright future for the improvement of patient care. The aim of this work is to equip the medical readership, in particular the neurosurgical specialty, with tools to better understand and apply findings from research on artificial intelligence and robotics in endovascular neurosurgery.

Identifiants

pubmed: 35371874
doi: 10.7759/cureus.23662
pmc: PMC8971092
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

e23662

Informations de copyright

Copyright © 2022, Bravo et al.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Javier Bravo (J)

Neurological Surgery, University of California San Diego, San Diego, USA.

Arvin R Wali (AR)

Neurological Surgery, University of California San Diego, San Diego, USA.

Brian R Hirshman (BR)

Neurological Surgery, University of California San Diego, San Diego, USA.

Tilvawala Gopesh (T)

Engineering and Healthcare Technology, University of California San Diego Jacobs School of Engineering, San Diego, USA.

Jeffrey A Steinberg (JA)

Neurological Surgery, University of California San Diego, San Diego, USA.

Bernard Yan (B)

Department of Neurology, Royal Melbourne Hospital, Melbourne, AUS.

J Scott Pannell (JS)

Neurological Surgery, University of California San Diego, San Diego, USA.

Alexander Norbash (A)

Neurological Surgery, University of California San Diego, San Diego, USA.

James Friend (J)

Engineering and Healthcare Technology, University of California San Diego Jacobs School of Engineering, San Diego, USA.

Alexander A Khalessi (AA)

Neurological Surgery, University of California San Diego, San Diego, USA.

David Santiago-Dieppa (D)

Neurological Surgery, University of California San Diego, San Diego, USA.

Classifications MeSH