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Artificial Intelligence in Neurosurgery: a Systematic Review Using Topic Modeling. Part I: Major Research Areas.
Danilov, G V; Shifrin, M A; Kotik, K V; Ishankulov, T A; Orlov, Yu N; Kulikov, A S; Potapov, A A.
Afiliação
  • Danilov GV; 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.
  • Shifrin MA; 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.
  • Kotik KV; 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.
  • Ishankulov TA; 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.
  • Orlov YN; Head of the Department of Computational Physics and Kinetic Equations; Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, 4 Miusskaya Sq., Moscow, 125047.
  • Kulikov AS; 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.
  • Potapov AA; 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.
Sovrem Tekhnologii Med ; 12(5): 106-112, 2021.
Article em En | MEDLINE | ID: mdl-34796011
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Neurocirurgia Tipo de estudo: Systematic_reviews Idioma: En Revista: Sovrem Tekhnologii Med Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Federação Russa
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Neurocirurgia Tipo de estudo: Systematic_reviews Idioma: En Revista: Sovrem Tekhnologii Med Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Federação Russa