Digital DiagnosticsDigital DiagnosticsDigital DiagnosticsDigital Diagnostics2712-84902712-8962Eco-Vector32142010.17816/DD321420ReviewsНаучные обзоры科学评论Review ArticleSpeech recognition technology in radiologyТехнология распознавания речи в лучевой диагностике语音识别技术在放射诊断中的应用https://orcid.org/0000-0003-4203-06301125-8637KudryavtsevNikita D.КудрявцевНикита ДмитриевичKudryavtsevNikita D.
Russian Federation
KudryavtsevND@zdrav.mos.ruhttps://orcid.org/0009-0002-4310-13571156-7627BardasovaKristina A.БардасоваКристина АлексеевнаBardasovaKristina A.
Russian Federation
bardasovakris@mail.ruhttps://orcid.org/0000-0003-4857-54047948-6427KhoruzhayaAnna N.ХоружаяАнна НиколаевнаKhoruzhayaAnna N.
Russian Federation
KhoruzhayaAN@zdrav.mos.ruMoscow Center for Diagnostics and TelemedicineНаучно-практический клинический центр диагностики и телемедицинских технологийMoscow Center for Diagnostics and TelemedicineUral State Medical UniversityУральский государственный медицинский университетUral State Medical University2505202312072023421851961703202319042023Copyright ©; 2023, Eco-VectorCopyright ©; 2023, Эко-векторCopyright ©; 2023, Eco-Vector2023Eco-VectorЭко-векторEco-Vectorhttps://creativecommons.org/licenses/by-nc-nd/4.0https://jdigitaldiagnostics.com/DD/article/view/321420

Speech recognition devices are promising tools for the healthcare system. Speech recognition technology has had a relatively long history of use in Western healthcare systems since the 1970s. However, it became widely used at the beginning of the 21st century, replacing medical transcriptionists. This technology is relatively new in home healthcare. Its active development began only in the early 2010s, and its implementation in healthcare started in late 2010. This delay is due to the idiosyncrasies of the Russian language and the limited computational power present at the beginning of the 21st century.

Currently, complexes of devices and software for speech recognition are used in the voice filling of medical records and can reduce the time for preparing reports for radiological examinations compared with traditional (keyboard) text input.

The literature review provides a brief history of speech recognition technology development and application in radiography. Key scientific studies showing its efficacy in Western healthcare systems are reflected. Voice recognition technology in the home is demonstrated, and its effectiveness is evaluated. The prospects for further development of this technology in Russian healthcare are described.

Устройства, способные распознавать речь, являются перспективным инструментом для системы здравоохранения. Технология распознавания речи имеет довольно длинную историю применения в западных системах здравоохранения (с 1970-х годов), однако широкое распространение она получила лишь в начале XXI века, заменив медицинских транскрипционистов. Для отечественного здравоохранения данная технология относительно новая. Её активная разработка началась лишь в начале 2010-х годов, а повсеместное внедрение в здравоохранение ― в конце 2010-х годов. Такая задержка связана с особенностями русского языка и ограничением вычислительных мощностей, присутствующих в начале XXI века.

В настоящее время комплексы устройств и программного обеспечения для распознавания речи используются в голосовом заполнении медицинской документации и позволяют сократить время подготовки протоколов рентгенологических исследований при сравнении с традиционным (клавиатурным) вводом текста.

В литературном обзоре отражена краткая история развития и применения технологии распознавания речи в лучевой диагностике. Отражены ключевые научные исследования, подтверждающие эффективность её использования в западных системах здравоохранения. Продемонстрирован отечественный опыт применения технологии распознавания речи и оценена её эффективность. Описаны перспективы дальнейшего развития данной технологии в российском здравоохранении.

能够进行语音识别的设备是保健系统的一个有前途的工具。语音识别技术在西方医疗系统中有相当长的使用历史（自20世纪70年代以来），但它在21世纪初才得到了广泛推广，取代了医疗抄写员。对于国内的医疗保健来说，该技术是相对较新的。它的积极开发是在2010年代初才开始，并2010年代末才在保健事业广泛采用的。这种延迟是由于俄语的特点和21世纪初计算能力的限制而导致的。

语音识别的设备和软件包现在被用于通过语言输入填写病历，此外，与传统（用键盘）文本输入相比，减少了准备X射线学协议所需的时间。

本文献综述简要介绍了语音识别技术在放射诊断中的发展和应用的历史。介绍了证实其在西方医疗系统中使用的有效性的主要科学研究。展示了国内使用语音识别技术的经验，并对其有效性进行了评估。描述了该技术在俄罗斯保健事业进一步发展的前景。

medical recordsradiation diagnosticsradiologyspeech recognition softwarevoice inputнаучный обзортехнология распознавания речиголосовой вводлучевая диагностикарентгенологиязаполнение медицинской документации科学综述语音识别技术语音输入放射诊断X射线学填写病历This article was prepared by a group of authors as a part of the research and development effort titled “Theoretical and methodological framework for digital transformation in radiology” (USIS No. 123031400118-0) in accordance with the Order No. 1196 dated December 21, 2022 “On approval of state assignments funded by means of allocations from the budget of the city of Moscow to the state budgetary (autonomous) institutions subordinate to the Moscow Health Care Department, for 2023 and the planned period of 2024 and 2025” issued by the Moscow Health Care DepartmentДанная статья подготовлена авторским коллективом в рамках НИР «Научно-методические основы цифровой трансформации службы лучевой диагностики» (№ ЕГИСУ: № 123031400118-0) в соответствии с Приказом от 21.12.2022 г. № 1196 «Об утверждении государственных заданий, финансовое обеспечение которых осуществляется за счет средств бюджета города Москвы государственным бюджетным (автономным) учреждениям, подведомственным Департаменту здравоохранения города Москвы, на 2023 год и плановый период 2024 и 2025 годов» Департамента здравоохранения города МосквыVechorko VI. 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