Artificial Intelligence in Neurosurgery: a Systematic Review Using Topic Modeling. Part I: Major Research Areas

G V Danilov; M A Shifrin; K V Kotik; T A Ishankulov; Yu N Orlov; A S Kulikov; A A Potapov

doi:10.17691/stm2020.12.5.12

Artificial Intelligence in Neurosurgery: a Systematic Review Using Topic Modeling. Part I: Major Research Areas

Sovrem Tekhnologii Med. 2021;12(5):106-112. doi: 10.17691/stm2020.12.5.12. Epub 2020 Oct 28.

Authors

G V Danilov¹, M A Shifrin², K V Kotik³, T A Ishankulov⁴, Yu N Orlov⁵, A S Kulikov⁶, A A Potapov⁷

Affiliations

¹ Scientific Board Secretary; N.N. Burdenko National Medical Research Center for Neurosurgery, Ministry of Health of the Russian Federation, 16, 4 Tverskaya-Yamskaya St., Moscow, 125047, Russia.
² Scientific Consultant, Laboratory of Biomedical Informatics and Artificial Intelligence; N.N. Burdenko National Medical Research Center for Neurosurgery, Ministry of Health of the Russian Federation, 16, 4 Tverskaya-Yamskaya St., Moscow, 125047, Russia.
³ Physics Engineer, Laboratory of Biomedical Informatics and Artificial Intelligence; N.N. Burdenko National Medical Research Center for Neurosurgery, Ministry of Health of the Russian Federation, 16, 4 Tverskaya-Yamskaya St., Moscow, 125047, Russia.
⁴ Engineer, Laboratory of Biomedical Informatics and Artificial Intelligence; N.N. Burdenko National Medical Research Center for Neurosurgery, Ministry of Health of the Russian Federation, 16, 4 Tverskaya-Yamskaya St., Moscow, 125047, Russia.
⁵ Head of the Department of Computational Physics and Kinetic Equations; Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, 4 Miusskaya Sq., Moscow, 125047.
⁶ Staff Anesthesiologist; N.N. Burdenko National Medical Research Center for Neurosurgery, Ministry of Health of the Russian Federation, 16, 4 Tverskaya-Yamskaya St., Moscow, 125047, Russia.
⁷ Professor, Academician of the Russian Academy of Sciences, Scientific Supervisor N.N. Burdenko National Medical Research Center for Neurosurgery, Ministry of Health of the Russian Federation, 16, 4 Tverskaya-Yamskaya St., Moscow, 125047, Russia.

Abstract

In recent years, the number of scientific publications on artificial intelligence (AI), primarily on machine learning, with respect to neurosurgery, has increased. The aim of the study was to conduct a systematic literature review and identify the main areas of AI applications in neurosurgery.

Methods: Using the PubMed search engine, we found and analyzed 327 original articles published in 1996-2019. The key words specific to each topic were identified using topic modeling algorithms LDA and ARTM, which are part of the AI-based natural language processing.

Results: Five main areas of neurosurgery, in which research into AI methods are underway, have been identified: neuro-oncology, functional neurosurgery, vascular neurosurgery, spinal neurosurgery, and surgery of traumatic brain injury. Specifics of these studies are characterized.

Conclusion: The information presented in this review can be instrumental in planning new research projects in neurosurgery.

Keywords: artificial intelligence; machine learning; natural language processing; neurosurgery; topic modeling in neurosurgery.

Publication types

Research Support, Non-U.S. Gov't
Review
Systematic Review

MeSH terms

Algorithms
Artificial Intelligence*
Machine Learning
Natural Language Processing
Neurosurgery*

Grants and funding

Financial support. This work was supported by the Russian Foundation for Basic Research (grant 19-2901174).