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

• 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

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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