Искусственный интеллект в скрининге рака молочной железы (литературный обзор)

Искусственный интеллект в скрининге рака молочной железы (литературный обзор)

Автор: Солодкий В.А., Каприн А.Д., Нуднов Н.В., Харченко Н.В., Ходорович О.С., Запиров Г.М., Шерстнва Т.В., Дибирова Ш.М., Канахина Л.Б.

Журнал: Вестник Российского научного центра рентгенорадиологии Минздрава России @vestnik-rncrr

Рубрика: Обзоры, лекции

Статья в выпуске: 4 т.22, 2022 года.

Бесплатный доступ

Цель исследования: обобщить актуальные данные об использовании технологии искусственного интеллекта (ТИИ) в скрининге рака молочной железы (РМЖ). Материалы и методы. Проведен поиск релевантных статей по ключевым словам «рак молочной железы», «искусственный интеллект», «скрининг», «маммография» по открытымбазам данных PubMed, Google Scholar, Elibrary, ResearchGate, опубликованных с 2012 по 2022 гг. Среди них отобраны публикации с высокими индексами цитирования.Результаты. Изучение эффективности работы технологии компьютерного зрения позволяют рассматривать ее в качестве средства поддержки принятия медицинских решений при анализе скрининговых маммографических исследований для определения стратегии индивидуального скрининга и последующего наблюдения. Выводы. Методы, основанные на машинном обучении, не заменят гистологическую верификацию в ближайшем будущем. Внедрение этих методов в клиническую практику станет одной из важных и перспективных задач для достижения снижения смертности от рака молочной железы.

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Рак молочной железы, скрининг, искусственный интеллект, машинное обучение, маммография, компьютерное зрение

Короткий адрес: https://sciup.org/149142259

IDR: 149142259

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