sapiСистемный анализ и прикладная информатика«System analysis and applied information science»2309-49232414-0481Belarusian National Technical University10.21122/2309-4923-2025-4-11-18sapi-770Research ArticleСистемный анализSystem analysisПриложения искусственного интеллекта и кибербезопасности в секторе здравоохранения: библиометрический анализArtificial intelligence and cybersecurity applications in the healthcare sector: a bibliometric analysishttps://orcid.org/0000-0002-2287-4994ЙылмазИ.Yoşumazİ.

Доцент,г. Кютахья, Турция

Assistant Professor,Republic of Türkiye,Evliya Çelebi Kampüsü. Tavşanlı Yolu 10. Km. KütahyaPhone: +905065053247E-mail: ismaily@dpu.edu.tr 

ismaily@dpu.edu.trУниверситет Кютахья Думлупынар, Профессиональная школа социальных наукТурцияDumlupınar University, Kütahya Social Sciences Vocational School, Business Administration Department.Turkey202516122025041118Copyright © Йылмаз И., 20252025Йылмаз И.Yoşumaz İ.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://sapi.bntu.by/jour/article/view/770

Целью данной работы является выявление объема исследований, проводимых в области искусственного интеллекта и кибербезопасности в сфере здравоохранения, и анализ основных тематических тенденций в этих исследованиях. В существующей литературе не обнаружено ни одной научной статьи, в которой были бы комплексно проанализированы исследования искусственного интеллекта и кибербезопасности в здравоохранении с использованием целостного подхода. Соответственно, для ответа на вопрос «Как в литературе формируются объем и тематические тенденции исследований, посвященных искусственному интеллекту и кибербезопасности в здравоохранении?», было изучено 565 статей, опубликованных в базе данных Scopus в период с 2020 по 2025 год, с помощью метода описательного контент-анализа. Исследование показало, что наибольшее количество публикаций в мире приходится на Азию, в то время как наибольшее количество цитирований приходится на публикации авторов из США и Австралии. Кроме того, публикации по искусственному интеллекту и кибербезопасности делятся на три отдельных тематических кластера.

The purpose of this study is to reveal the scope of research conducted in the fields of artificial intelligence and cybersecurity within the healthcare sector and to analyze the prominent thematic trends in these studies. In the existing literature, no study has been found that comprehensively analyzes research on artificial intelligence and cybersecurity in healthcare using a holistic method. Accordingly, in order to address the research question, “How are the scope and thematic trends of studies focusing on artificial intelligence and cybersecurity in healthcare shaped in the literature?”, a total of 565 articles published in the Scopus database between 2020 and 2025 were examined using the descriptive content analysis method, one of the qualitative analysis techniques. The study reveals that the highest number of publications worldwide originates from Asia, while the most citations are attributed to publications by researchers in the United States and Australia. Furthermore, the research shows that the publications on artificial intelligence and cybersecurity fall into three distinct thematic clusters.

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