surgoncoКреативная хирургия и онкологияCreative surgery and oncology2076-30932307-0501Башкирский государственный медицинский университет10.24060/2076-3093-2018-8-3-208-215surgonco-334Research ArticleОБЗОР ЛИТЕРАТУРЫREVIEWSРазвитие технологий искусственного интеллекта в онкологии и лучевой диагностикеArtificial Intelligence Developments in Medical Visualization and Oncologyhttps://orcid.org/0000-0003-0511-9345БузаевИ. В.BuzaevI. V.

к.м.н., зав. отделением рентгенохирургических методов диагностики и лечения № 1, ассистент кафедры госпитальной хирургии, Россия, 450106, Уфа, ул. Ст. Кувыкина, 96.

Candidate of Medical Sciences, Head of the Department of Interventional Cardiology, Assistant lecturer of the Department of Hospital Surgery, 96 S. Kuvykin str., 450106, Russian Federation.

igor@buzaev.comhttps://orcid.org/0000-0002-6716-4048ПлечевВ. В.PlechevV. V.

д.м.н., профессор, зав. кафедрой госпитальной хирургии, Россия, 450008, Уфа, ул. Ленина, 3.

Doctor of Medical Sciences, Professor, Head of the Department of Hospital Surgery, Lenin str., Ufa, 450008, Russian Federation.

angio02@mail.ruhttps://orcid.org/0000-0003-2758-0351ГалимоваР. М.GalimovaR. M.

ассистент кафедры неврологии, Россия, 450008, Уфа, ул. Ленина, 3.

Assistant lecturer of the Department of Neurology, 3 Lenin str., Ufa, 450008, Russian Federation.

rezida@galimova.comhttps://orcid.org/0000-0002-4005-9782КиреевА. Р.KireevA. R.

соискатель кафедры менеджмента и маркетинга, Россия, 450008, Уфа, ул. К. Маркса, 12.

Applicant of the Department of Management and Marketing, 12 K. Marx str., Ufa, 450008, Russian Federation.

mnhtnn@outlook.comhttps://orcid.org/0000-0001-7581-9967ЮлдыбаевЛ. Х.YuldybaevL. K.

к.т.н., доцент кафедры математики, Россия, 450062, Уфа, ул. Космонавтов, 1.

Candidate of Technical Sciences, Associate professor of the Department ofMathematics, 1 Kosmonavtov str., Ufa, 450062, Russian Federation.

yuldybaevlx@mail.ruhttps://orcid.org/0000-0002-3340-3880ШайхуловаА. Ф.ShaykhulovaA. F.

к.т.н., ассистент кафедры технологии машиностроения, Россия, 450008, Уфа, ул. К. Маркса, 12.

Candidate of Technical Sciences, Assistant lecturer of the Department of Mechanical Design Technology, 12 K. Marx str., Ufa, 450008, Russian Federation.

Shaihulova@inbox.ruАхмероваС. Г.AkhmerovaS. G.

кафедры общественного здоровья и организации здравоохранения ИДПО,  Россия, 450008, Уфа, ул. Ленина, 3.

Doctor of Medical Sciences, Professor of the Department of Public Health and Health Organization in the Institute of Additional Professional Education, 3 Lenin str., Ufa, 450008, Russian Federation.

ahm.63@mail.ruРеспубликанский кардиологический центр.РоссияRepublic Heart Centre.Russian FederationБашкирский государственный медицинский университет.РоссияBashkir State Medical University.Russian FederationУфимский государственный авиационный технический университет.РоссияUfa State Aviation Technical University.Russian FederationУфимский государственный нефтяной технический университет.РоссияUfa State Petroleum Technical University.Russian Federation20182501201983208215Copyright © Бузаев И.В., Плечев В.В., Галимова Р.М., Киреев А.Р., Юлдыбаев Л.Х., Шайхулова А.Ф., Ахмерова С.Г., 20192019Бузаев И.В., Плечев В.В., Галимова Р.М., Киреев А.Р., Юлдыбаев Л.Х., Шайхулова А.Ф., Ахмерова С.Г.Buzaev I.V., Plechev V.V., Galimova R.M., Kireev A.R., Yuldybaev L.K., Shaykhulova A.F., Akhmerova S.G.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.surgonco.ru/jour/article/view/334

Введение. Индустриальная революция 4.0 произошла во многом благодаря внедрению методов искусственного интеллекта.Цель исследования. Показать качественные перемены, которые произошли в последние 3 года в реализации методов искусственного интеллекта в здравоохранении путем исследования трендов по публикациям в базе данных PubMed.Материалы. Все резюме статей с ключевым словом “artificial intelligence” были загружены в текстовые файлы из базы данных https://www.ncbi.nlm.nih.gov/pubmed/. Путем обобщения ключевых слов мы классифицировали современные применения искусственного интеллекта в медицине. 78 420 резюме были извлечены из базы данных PubMed, в том числе 5558 обзоров, 304 рандомизированных исследования, 247 многоцентровых исследований. Затем были классифицированы типичные сферы применения.Результаты. Интерес к теме искусственного интеллекта в индексированных в PubMed публикациях растет согласно закону развития инноваций. Количество неанглоязычных публикаций увеличивалось до 2008 года и было представлено на китайском, немецком, французском и русском языках. После 2008 года количество неанглоязычных публикаций снизилось в пользу англоязычных.Выводы. В последние два-три года искусственный интеллект в практике принятия решений в медицине стал иметь реальное практическое применение. Кроме того, инструменты для создания систем принятия решений на базе методик искусственного интеллекта стали уже не диковинными и доступны не только математикам. Американское управление пищевыми продуктами и лекарственными препаратами (FDA) одобрило ряд приложений к клинической практике. Это еще одна перемена, которая затронула не только ученых, но и практиков. Большинство таких приложений используется для анализа медицинских изображений, в том числе и в онкологии, и демонстрирует сравнимую точность с человеком специалистом. В статье представлена разработанная классификация применения технологий искусственного интеллекта.

Introduction. The widespread adoption of Artificial Intelligence (AI) technologies forms the core of the so-called Industrial Revolution 4.0.The aim of this study is to examine qualitative changes occurring over the last two years in the development of AI through an examination of trends in PubMed publications.Materials. All abstracts with keyword “artificial intelligence” were downloaded from PubMed database https://www.ncbi.nlm.nih.gov/pubmed/ in the form of .txt files. In order to produce a generalisation of topics, we classified present applications of AI in medicine. To this end, 78,420 abstracts, 5558 reviews, 304 randomised controlled trials, 247 multicentre studies and 4137 other publication types were extracted. (Figure 1). Next, the typical applications were classified.Results. Interest in the topic of AI in publications indexed in the PubMed library is increasing according to general innovation development principles. Along with English publications, the number of non-English publications continued to increase until 2018, represented especially by Chinese, German and French languages. By 2018, the number of non-English publications had started to decrease in favour of English publications. Implementations of AI are already being adopted in contemporary practice. Thus, AI tools have moved out of the theoretical realm to find mainstream application.Conclusions. Tools for machine learning have become widely available to working scientists over the last two years. Since this includes FDA-approved tools for general clinical practice, the change not only affects to researchers but also clinical practitioners. Medical imaging and analysis applications already approved for the most part demonstrate comparable accuracy with the human specialist. A classification of developed AI applications is presented in the article.

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