人工智能在动脉钙化诊断中的应用

封面

如何引用文章

全文:

详细

论证。近二十年来，俄罗斯联邦居民循环系统疾病的发病率持续上升。从2000年到2019年，此类疾病的数量增加了2.047倍。血管钙化过程包括钙盐在动脉壁的沉积，这导致血管壁重塑。放射性检查方法是诊断血管钙化的金标准。然而，随着数据量的增加和诊断时间的需要，工作效率不可避免地下降，人工智能的积极发展和应用于临床为专家解决这些问题提供了机会。

目的。本研究的目的是分析国内外关于使用人工智能诊断不同类型血管钙化的文献，同时，总结血管钙化的预后价值，并评估在不使用人工智能的情况下阻碍血管钙化诊断的方面。

材料与方法。在电子数据库PubMed、Web of Science、Google Scholar和eLibrary中搜索了相关出版物。搜索时使用了以下关键词：“artificial intelligence”，“machine learning”，“vascular calcification”，“人工智能”、“机器学习”、“血管钙化”。检索时间为相关数据库建立至2023年7月。

结果。综述中包含的研究的主要方法是比较临床医生和人工智能使用相同图片的诊断能力，然后评估准确性、速度和其他指标。血管钙化发生的部位差异很大，这也是其预后价值不同的原因。

结论。事实证明，人工智能在诊断血管钙化方面表现出色。除了提高准确性和效率外，其细节处理能力也超过人工诊断方法。人工智能已经达到了帮助仪器诊断医生自动检测血管钙化的水平。未来，人工智能的能力可以促进放射学的有效发展。

作者简介

Yuri А. Trusov

Samara State Medical University

Email: yu.a.trusov@samsmu.ru
ORCID iD: 0000-0001-6407-3880
SPIN 代码: 3203-5314
俄罗斯联邦, Samara

Victoria S. Chupakhina

Rostov State Medical University

Email: chupalhina@bk.ru
ORCID iD: 0009-0003-8318-3673
SPIN 代码: 4402-7476
俄罗斯联邦, Rostov-on-Don

Adilya S. Nurkaeva

Bashkir State Medical University

Email: vkomissiya@inbox.ru
ORCID iD: 0009-0006-8621-5580
SPIN 代码: 3307-5546
俄罗斯联邦, Ufa

Natalia A. Yakovenko

Sechenov First Moscow State Medical University

Email: tigris2011@yandex.ru
ORCID iD: 0009-0005-6726-9623
SPIN 代码: 4415-2236
俄罗斯联邦, Moscow

Irina V. Ablenina

Orenburg State Medical University

Email: aninelba@gmail.com
ORCID iD: 0009-0006-6222-9339
SPIN 代码: 4123-3336
俄罗斯联邦, Orenburg

Roksana F. Latypova

Orenburg State Medical University

Email: roxevansss@gmail.com
ORCID iD: 0009-0004-5057-6451
SPIN 代码: 3542-3376
俄罗斯联邦, Orenburg

Aleksandra P. Pitke

Orenburg State Medical University

Email: pitkea00@gmail.com
ORCID iD: 0009-0002-1111-759X
SPIN 代码: 3726-4213
俄罗斯联邦, Orenburg

Anastasiya A. Yazovskih

Bashkir State Medical University

Email: anyaz.bgmu@yandex.ru
ORCID iD: 0000-0002-3955-0830
SPIN 代码: 3543-5323
俄罗斯联邦, Ufa

Artem S. Ivanov

Bashkir State Medical University

Email: artem.ivanov656@yandex.ru
ORCID iD: 0009-0000-3562-8293
SPIN 代码: 4834-5324
俄罗斯联邦, Ufa

Darya S. Bogatyreva

Russian National Research Medical University named after N.I. Pirogov

Email: diria1012@yandex.ru
ORCID iD: 0009-0004-5055-8819
SPIN 代码: 3331-3421
俄罗斯联邦, Moscow

Ulyana A. Popova

Russian University of Medicine

Email: ulyanka.popova.2000@gmail.com
ORCID iD: 0009-0002-7994-5631
SPIN 代码: 3452-2543
俄罗斯联邦, Moscow

Azat F. Yuzlekbaev

Bashkir State Medical University

编辑信件的主要联系方式.
Email: ztl5@rambler.ru
ORCID iD: 0009-0002-8799-4732
SPIN 代码: 4812-3213
俄罗斯联邦, Ufa

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Согласие на обработку персональных данных с помощью сервиса «Яндекс.Метрика»

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2. Категории обрабатываемых данных: файлы «cookies» (куки-файлы). Файлы «cookie» – это небольшой текстовый файл, который веб-сервер может хранить в браузере Пользователя. Данные файлы веб-сервер загружает на устройство Пользователя при посещении им Сайта. При каждом следующем посещении Пользователем Сайта «cookie» файлы отправляются на Сайт Оператора. Данные файлы позволяют Сайту распознавать устройство Пользователя. Содержимое такого файла может как относиться, так и не относиться к персональным данным, в зависимости от того, содержит ли такой файл персональные данные или содержит обезличенные технические данные.

3. Цель обработки персональных данных: анализ пользовательской активности с помощью сервиса «Яндекс.Метрика».

4. Категории субъектов персональных данных: все Пользователи Сайта, которые дали согласие на обработку файлов «cookie».

5. Способы обработки: сбор, запись, систематизация, накопление, хранение, уточнение (обновление, изменение), извлечение, использование, передача (доступ, предоставление), блокирование, удаление, уничтожение персональных данных.

6. Срок обработки и хранения: до получения от Субъекта персональных данных требования о прекращении обработки/отзыва согласия.

7. Способ отзыва: заявление об отзыве в письменном виде путём его направления на адрес электронной почты Оператора: info@rcsi.science или путем письменного обращения по юридическому адресу: 119991, г. Москва, Ленинский просп., д.32А

8. Субъект персональных данных вправе запретить своему оборудованию прием этих данных или ограничить прием этих данных. При отказе от получения таких данных или при ограничении приема данных некоторые функции Сайта могут работать некорректно. Субъект персональных данных обязуется сам настроить свое оборудование таким способом, чтобы оно обеспечивало адекватный его желаниям режим работы и уровень защиты данных файлов «cookie», Оператор не предоставляет технологических и правовых консультаций на темы подобного характера.

9. Порядок уничтожения персональных данных при достижении цели их обработки или при наступлении иных законных оснований определяется Оператором в соответствии с законодательством Российской Федерации.

10. Я согласен/согласна квалифицировать в качестве своей простой электронной подписи под настоящим Согласием и под Политикой обработки персональных данных выполнение мною следующего действия на сайте: https://journals.rcsi.science/ нажатие мною на интерфейсе с текстом: «Сайт использует сервис «Яндекс.Метрика» (который использует файлы «cookie») на элемент с текстом «Принять и продолжить».