rentradВестник рентгенологии и радиологииJournal of radiology and nuclear medicine0042-46762619-0478Limited Liability Company "LUCHEVAYA DIAGNOSTIKA", Russian Association of Radiologists10.20862/0042-4676-2023-104-2-151-162rentrad-797Research ArticleОБЗОРЫREVIEWSСовременные системы поддержки принятия врачебных решений на базе искусственного интеллекта для анализа цифровых маммографических изображенийСontemporary Medical Decision Support Systems Based on Artificial Intelligence for the Analysis of Digital Mammographic Imageshttps://orcid.org/0000-0002-1641-6452СолодкийВ. А.SolodkiyV. A.

Солодкий Владимир Алексеевич, д. м. н., профессор, академик РАН, директор,

ул. Профсоюзная, 86, Москва, 117997

Vladimir A. Solodkiy, Dr. Med. Sc., Professor, Academician of RAS, Director,

ul. Profsoyuznaya, 86, Moscow, 117997

https://orcid.org/0000-0001-8784-8415КапринА. Д.KaprinA. D.

Каприн Андрей Дмитриевич, д. м. н., профессор, академик РАН, генеральный директор, 2-й Боткинский пр-д, 3, Москва, 125284;

заведующий кафедрой онкологии и рентгенорадиологии им. В.П. Харченко, ул. Миклухо-Маклая, 6, Москва, 117198

Andrey D. Kaprin, Dr. Med. Sc., Professor, Academician of RAS, Director General, Vtoroy Botkinskiy proezd, 3, Moscow, 125284;

Chief of Chair of Oncology and Radiology named after V.P. Kharchenko, ul. Miklukho-Maklaya, 6, Moscow, 117198

https://orcid.org/0000-0001-5994-0468НудновН. В.NudnovN. V.

Нуднов Николай Васильевич, д. м. н., профессор, заместитель директора по науке, ул. Профсоюзная, 86, Москва, 117997;

профессор кафедры онкологии и рентгенорадиологии им. В.П. Харченко, ул. Миклухо-Маклая, 6, Москва, 117198

Nikolay V. Nudnov, Dr. Med. Sc., Professor, Deputy Director for Science, ul. Profsoyuznaya, 86, Moscow, 117997;

Professor, Chair of Oncology and Radiology named after V.P. Kharchenko, ul. Miklukho-Maklaya, 6, Moscow, 117198

https://orcid.org/0000-0002-5352-492XХарченкоН. В.KharchenkoN. V.

Харченко Наталья Владимировна, д. м. н., профессор кафедры онкологии и рентгенорадиологии им. В.П. Харченко,

ул. Миклухо-Маклая, 6, Москва, 117198

Natalia V. Kharchenko, Dr. Med. Sc., Professor, Chair of Oncology and Radiology named after V.P. Kharchenko, 

ul. Miklukho-Maklaya, 6, Moscow, 117198

https://orcid.org/0000-0002-6014-4597ХодоровичО. С.KhodorovichO. S.

Ходорович Ольга Сергеевна, д. м. н., заведующая отделением,

ул. Профсоюзная, 86, Москва, 117997

Olga S. Khodorovich, Dr. Med. Sc., Head of Department,

ul. Profsoyuznaya, 86, Moscow, 117997

https://orcid.org/0000-0002-3171-8731ЗапировГ. М.ZapirovG. M.

Запиров Гаджимурад Магомедович, к. м. н., доцент кафедры онкологии и рентгенорадиологии им. В.П. Харченко,

ул. Миклухо-Маклая, 6, Москва, 117198

Gadzhimurad M. Zapirov, Cand. Med. Sc., Associate Professor, Chair of Oncology and Radiology named after V.P. Kharchenko,

ul. Miklukho-Maklaya, 6, Moscow, 117198

https://orcid.org/0000-0002-3261-0984ШерстнёваТ. В.SherstnevaT. V.

Шерстнёва Татьяна Викторовна, к. м. н., заведующая отделением, 

ул. Профсоюзная, 86, Москва, 117997

 

Tatiana V. Sherstneva, Cand. Med. Sc., Head of Department, 

ul. Profsoyuznaya, 86, Moscow, 117997

https://orcid.org/0000-0001-9657-7776ДибироваШ. М.DibirovaSh. M.

Дибирова Шахрузат Магомедовна, врач-рентгенолог отделения комплексной (включая лучевую) методы диагностики молочной железы, ул. Профсоюзная, 86, Москва, 117997;

аспирант кафедры онкологии и рентгенорадиологии им. В.П. Харченко, ул. Миклухо-Маклая, 6, Москва, 117198

Shakhruzat M. Dibirova, Radiologist, Department of Complex (Including Radiation) Methods of Breast Diagnostics, ul. Profsoyuznaya, 86, Moscow, 117997;

Chair of Oncology and Radiology named after V.P. Kharchenko, ul. Miklukho-Maklaya, 6, Moscow, 117198

shakhru95@yandex.ruhttps://orcid.org/0000-0003-0260-1478КанахинаЛ. Б.KanakhinaL. B.

Канахина Лия Бекетаевна, мл. науч. сотр. отделения комплексной (включая лучевую) методы диагностики молочной железы,

ул. Профсоюзная, 86, Москва, 117997

Liya B. Kanakhina, Junior Researcher, Department of Complex (Including Radiation) Methods of Breast Diagnostics, 

ul. Profsoyuznaya, 86, Moscow, 117997

ФГБУ «Российский научный центр рентгенорадиологии» Минздрава РоссииРоссияRussian Scientific Center of RoentgenoradiologyRussian FederationФГБУ «Национальный медицинский исследовательский центр радиологии» Минздрава России; ФГАОУ ВО «Российский университет дружбы народов»РоссияNational Medical Research Center of Radiology; Peoples’ Friendship University of RussiaRussian FederationФГБУ «Российский научный центр рентгенорадиологии» Минздрава России; ФГАОУ ВО «Российский университет дружбы народов»РоссияRussian Scientific Center of Roentgenoradiology Peoples’ Friendship University of RussiaRussian FederationФГАОУ ВО «Российский университет дружбы народов»РоссияPeoples’ Friendship University of RussiaRussian FederationФГБУ «Российский научный центр рентгенорадиологии» Минздрава России; ФГАОУ ВО «Российский университет дружбы народов»РоссияRussian Scientific Center of Roentgenoradiology; Peoples’ Friendship University of RussiaRussian Federation2023070820231042151162Copyright © Солодкий В.А., Каприн А.Д., Нуднов Н.В., Харченко Н.В., Ходорович О.С., Запиров Г.М., Шерстнёва Т.В., Дибирова Ш.М., Канахина Л.Б., 20232023Солодкий В.А., Каприн А.Д., Нуднов Н.В., Харченко Н.В., Ходорович О.С., Запиров Г.М., Шерстнёва Т.В., Дибирова Ш.М., Канахина Л.Б.Solodkiy V.A., Kaprin A.D., Nudnov N.V., Kharchenko N.V., Khodorovich O.S., Zapirov G.M., Sherstneva T.V., Dibirova S.M., Kanakhina L.B.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.russianradiology.ru/jour/article/view/797

Актуальность внедрения технологий искусственного интеллекта (ИИ) в диагностику рака молочной железы (РМЖ) связана с сохраняющимся высоким ростом заболеваемости среди женщин и ведущей позицией в структуре онкологической заболеваемости. Теоретически применение технологий ИИ возможно как на этапе скрининга, так и в уточняющей диагностике РМЖ. В работе дается краткий обзор систем ИИ, используемых в клинической практике, и обсуждаются перспективы его применения в диагностике РМЖ. Достижения в области машинного обучения могут быть эффективны для повышения точности маммографического скрининга за счет уменьшения количества пропущенных случаев рака и ложноположительных результатов.

The relevance of implementing artificial intelligence (AI) technologies in the diagnosis of breast cancer (BC) is associated with a continuing high increase in BC incidence among women and its leading position in the structure of cancer incidence. Theoretically, using AI technologies is possible both at the stage of screening and in clarifying BC diagnosis. The article provides a brief overview of AI systems used in clinical practice and discusses their prospects in BC diagnosis. Advances in machine learning can be effective to improve the accuracy of mammography screening by reducing missed cancer cases and false positives.

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