Artificial Intelligence for Imaging Diagnostics in Neurosurgery

Andrey Yu Letyagin, Liana O. Degtyareva, Sergey K. Golushko, Jamil A. Rzaev, Mihail E. Amelin, Evgeniy N. Pavlovsky, Bair N. Tuchinov, Evgeniya V. Amelina, Galina I. Moisak, Ekaterina G. Bulgakova

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

1 Citation (Scopus)

Abstract

Improving the accuracy and timeliness of medical imaging in everyday clinical neurosurgery practice is an urgent problem for the health care of all countries. This problem will be solved with the help of artificial intelligence (AI). By performing the search and contouring of 'suspicious' pathological objects, making automatic measurements on 3D medical images (MRI, CT), formalizing quantitative indicators and compiling medical statistical reports, AI can solve diagnostic problems in radiology and medical imaging. The effect of introducing AI will be at least a more accurate and quick interpretation of images, implemented through a set of decision-making tools for medical specialists.

Original languageEnglish
Title of host publicationSIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages336-337
Number of pages2
ISBN (Electronic)9781728144016
ISBN (Print)978-1-7281-4402-3
DOIs
Publication statusPublished - 1 Oct 2019
Event2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019 - Novosibirsk, Russian Federation
Duration: 21 Oct 201927 Oct 2019

Publication series

NameSIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings

Conference

Conference2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019
CountryRussian Federation
CityNovosibirsk
Period21.10.201927.10.2019

Keywords

  • artificial intelligence
  • MR-Tomograms
  • MRI
  • neurooncology
  • neurosurgery

OECD FOS+WOS

  • 1.01 MATHEMATICS
  • 1.02 COMPUTER AND INFORMATION SCIENCES
  • 1.03 PHYSICAL SCIENCES AND ASTRONOMY
  • 2.02 ELECTRICAL ENG, ELECTRONIC ENG
  • 5.09 OTHER SOCIAL SCIENCES

State classification of scientific and technological information

  • 27.31 Differential equations with partial derivatives

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