Areas for Artificial Intelligence Implementation in Kuzbass Healthcare: Sociological Aspects

Author:

Golovko Ol'ga1,Kharlampenkov Evgeny12

Affiliation:

1. Kemerovo State Medical University

2. Plekhanov Russian University of Economics (Kemerovo branch)

Abstract

The article analyzes the structure of morbidity in the region and identifies the main directions for artificial intelligence implementation in Russia. In order to identify the attitude of clinical physicians towards the artificial intelligence products, the authors performed a sociological survey. To develop the artificial intelligence in the Kemerovo Region it is necessary to use artificial intelligence products and build competence centers for implementing these products in regional healthcare. The main ways of development are strategic programs; creative teams within scientific and educational centers; introduction of automated workplaces for doctors. The authors’ proposals can improve the accuracy of diagnosis, simplify the treatment of patients with various diseases, and rise the healthcare of the Kemerovo region – Kuzbass to a new level.

Publisher

Kemerovo State University

Subject

Applied Mathematics,General Mathematics

Reference24 articles.

1. Рязанова С. В., Комков А. А., Мазаев В. П. Российский и мировой опыт применения новых технологий искусственного интеллекта в реальной медицинской практике. Научное обозрение. Медицинские науки. 2021. № 6. С. 32–40. https://doi.org/10.17513/srms.1215, Ryazanova S. V., Komkov A. A., Mazaev V. P. Russian and world experience in the application of new artificial intelligence technologies in real medical practice. Nauchnoe obozrenie. Meditsinskie nauki, 2021, (6): 32–40. (In Russ.) https://doi.org/10.17513/srms.1215

2. Гусев А. В., Кузнецова Т. Ю., Корсаков И. Н. Искусственный интеллект в оценке рисков развития сердечно-сосудистых заболеваний. Журнал телемедицины и электронного здравоохранения. 2018. № 3. С. 85–90. EDN: YWZVKX, Gusev A. V., Kuzne­tsova T. Yu., Korsakov I. N. Artificial intelligence for cardiovascular risks assessment. Zhurnal telemeditsiny i elektronnogo zdravookhraneniia, 2018, (3): 85–90. (In Russ.) EDN: YWZVKX

3. Kaul V., Enslin S., Gross S. A. History of artificial intelligence in medicine. Gastrointestinal Endoscopy, 2020, 92(4): 807–812. https://doi.org/10.1016/j.gie.2020.06.040, Kaul V., Enslin S., Gross S. A. History of artificial intelligence in medicine. Gastrointestinal Endoscopy, 2020, 92(4): 807–812. https://doi.org/10.1016/j.gie.2020.06.040

4. Гусев А. В., Добридюк С. Л. Искусственный интеллект в медицине и здравоохранении. Информационное общество. 2017. № 4-5. C. 78–92., Gusev A. V., Dobridyuk S. L. Artificial intelligence in medicine and healthcare. Information Society, 2017, (4–5): 78–92. (In Russ.)

5. Тарасова К. А. Возможности использования искусственного интеллекта в кардиологии. Российский кардиологический журнал. 2022. Т. 27. № S7. С. 47. EDN: GXVDSV, Tarasova K. A. Possible applications of artificial intelligence in cardiology. Russian Journal of Cardiology, 2022, 27(S7): 47. (In Russ.) EDN: GXVDSV

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3