Artificial Intelligence Technologies in the Microsurgical Operating Room (Review).

Journal: Sovremennye tekhnologii v meditsine
PMID:

Abstract

Surgery performed by a novice neurosurgeon under constant supervision of a senior surgeon with the experience of thousands of operations, able to handle any intraoperative complications and predict them in advance, and never getting tired, is currently an elusive dream, but can become a reality with the development of artificial intelligence methods. This paper has presented a review of the literature on the use of artificial intelligence technologies in the microsurgical operating room. Searching for sources was carried out in the PubMed text database of medical and biological publications. The key words used were "surgical procedures", "dexterity", "microsurgery" AND "artificial intelligence" OR "machine learning" OR "neural networks". Articles in English and Russian were considered with no limitation to publication date. The main directions of research on the use of artificial intelligence technologies in the microsurgical operating room have been highlighted. Despite the fact that in recent years machine learning has been increasingly introduced into the medical field, a small number of studies related to the problem of interest have been published, and their results have not proved to be of practical use yet. However, the social significance of this direction is an important argument for its development.

Authors

  • A E Bykanov
    Neurosurgeon, 7 Department of Neurosurgery, Researcher; National Medical Research Center for Neurosurgery named after Academician N.N. Burdenko, Ministry of Healthcare of the Russian Federation, 16, 4 Tverskaya-Yamskaya St., Moscow, 125047, Russia.
  • G V Danilov
    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; Head of the 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.
  • V V Kostumov
    PhD Student, Programmer, the CMC Faculty; Lomonosov Moscow State University, 1 Leninskiye Gory, Moscow, 119991, Russia.
  • O G Pilipenko
    PhD Student, Programmer, the CMC Faculty; Lomonosov Moscow State University, 1 Leninskiye Gory, Moscow, 119991, Russia.
  • B M Nutfullin
    PhD Student, Programmer, the CMC Faculty; Lomonosov Moscow State University, 1 Leninskiye Gory, Moscow, 119991, Russia.
  • O A Rastvorova
    Resident, 7 Department of Neurosurgery; National Medical Research Center for Neurosurgery named after Academician N.N. Burdenko, Ministry of Healthcare of the Russian Federation, 16, 4 Tverskaya-Yamskaya St., Moscow, 125047, Russia.
  • D I Pitskhelauri
    Professor, Head of the 7 Department of Neurosurgery; National Medical Research Center for Neurosurgery named after Academician N.N. Burdenko, Ministry of Healthcare of the Russian Federation, 16, 4 Tverskaya-Yamskaya St., Moscow, 125047, Russia.