jsmsJournal of Siberian Medical SciencesJournal of Siberian Medical Sciences2542-1174Federal state budgetary educational institution of higher education "Novosibirsk state medical university" of Ministry of Health of the Russian Federation (FSBEI HE NSMU MOH Russia)jsms-724Research ArticleОБЗОРЫREVIEWВозможности применения нейросетей в оценке результатов внутрисосудистого ультразвукового исследования (обзор литературы)Possibilities of neural networks application in assessing the results of intravascular ultrasound (literature review)МадоновП. Г.MadonovP. G.

Мадонов Павел Геннадьевич — доктор медицинских наук, профессор, заведующий кафедрой фармакологии, клинической фармакологии и доказательной медицины

Новосибирск

Madonov Pavel G. — Dr. Sci. (Med.), Professor, Head, Department of Pharmacology, Clinical Pharmacology and Evidence-Based Medicine

Novosibirsk

ХидироваЛ. Д.KhidirovaL. D.

Хидирова Людмила Даудовна — доктор медицинских наук, доцент кафедры фармакологии, клинической фармакологии и доказательной медицины

630091, г. Новосибирск, Красный просп., 52

Khidirova Lyudmila D. — Dr. Sci. (Med.), Assistant Professor, Department of Pharmacology, Clinical Pharmacology and Evidence-Based Medicine

52, Krasny Prospect, Novosibirsk, 630091

h_ludmila73@mail.ruКовалёвЕ. А.KovalevE. A.

Ковалёв Евгений Александрович — студент VI курса

Новосибирск

Kovalev Evgeniy A. — 6-year Student

Novosibirsk

ФГБОУ ВО «Новосибирский государственный медицинский университет» Минздрава РоссииРоссияNovosibirsk State Medical UniversityRussian Federation20212208202102127135Copyright © Мадонов П.Г., Хидирова Л.Д., Ковалёв Е.А., 20212021Мадонов П.Г., Хидирова Л.Д., Ковалёв Е.А.Madonov P.G., Khidirova L.D., Kovalev E.A.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://jsms.elpub.ru/jour/article/view/724

В обзоре рассмотрен опыт применения нейросетей в оценке результатов внутрисосудистых ультразвуковых исследований (выявление нестабильных бляшек, выделение просвета и слоев стенки сосуда, прогнозирование фракционного резерва кровотока).

The review considers the experience of neural networks use in assessing the results of intravascular ultrasound investigation (detection of vulnerable plaques, extraction of the lumen and layers of the vessel wall, prediction of the fractional flow reserve).

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The authors declare that there are no conflicts of interest present.