GLUCOSE THE LEVEL OF AI WITH THE HELP OF REMOTE MONITORING OF PATIENTS WITH DIABETES AND MOBILE APPS

Authors

  • Usmonov Ozodbek Tashkent State Medical University No. 1 of the General Medicine Faculty, Student Group 109 Tashkent, Uzbekistan Author
  • Fazliddin Arzikulov Assistant of the Department of Biomedical Engineering, Informatics and Biophysics at the Tashkent State Medical University Author

Keywords:

Diabetes; continuous glucose monitoring; CGI; mobile applications; artificial intelligence; remotely monitoring; telemedicine; data security.

Abstract

This article provides a comprehensive technical, clinical, and organization systems for remotely monitoring the level of glucose in patients with clonal analysis of Types 2 diabetes using artificial intelligence (ai) and mobile application. Discusses the work of the architecture of the continuous glucose monitoring (CGI) sensor, mobile application, cloud infrastructure and AI module, as well as the ai model and the validation data security, regulatory requirements, and implementation strategies. The analysis was based on scientific literature published after the size 2020. The article offers practical recommendations and directions for future research.

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Published

2026-01-09

Issue

Vol. 2 No. 1 (2026)

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

GLUCOSE THE LEVEL OF AI WITH THE HELP OF REMOTE MONITORING OF PATIENTS WITH DIABETES AND MOBILE APPS. (2026). Eureka Journal of Computing Science & Digital Innovation, 2(1), 18-28. https://eurekaoa.com/index.php/10/article/view/138

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