Tharun Anand Reddy Sure 1
1 Department of Software Engineering, ServiceNow, USA.

Article Id - IJAIMED_01_01_002, Pages : 9-13, Date of Publication : 07, September 2023

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Continuous Glucose Monitoring (CGM) has transformed diabetes management by providing real-time glucose data through mobile apps. This article explores the integration of Artificial Intelligence (AI) into CGM technology, enabling personalized insights and improved treatment outcomes. Combining mobile apps with AI opens new avenues in diabetes care, promising enhanced quality of life for patients. With ongoing technological advancements, the potential for further breakthroughs in diabetes management is vast. We stand at the threshold of an exciting era in diabetes care, offering hope for a brighter future for millions of individuals with diabetes.


Continuous Glucose Monitoring (CGM), Diabetes Management, Real-time Glucose Data, Mobile Apps, Artificial Intelligence (AI), Personalized Insights, Quality Of Life, Future Of Diabetes Care

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Tharun Anand Reddy Sure, The Role of Mobile Applications and AI in Continuous Glucose Monitoring: A Comprehensive Review of Key Scientific Contributions, International Journal of Artificial Intelligence in Medicine (IJAIMED), 2023, 1(1), pp. 9-13


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Scope Database

Chief Editor

Dr. Y. Omidi - Professor, Faculty of Pharmacy, School of Advanced Biomedical Sciences, Tabriz University of Medical Sciences, Iran

Editorial Board

Ms. Vaishali Mane - Sr Product Analyst, [Contracting], Austin, TX

Mr. Rakesh Margam - Healthcare IT Expert, SecureKloud Technologies Inc, CA, USA

Mr. Sai Teja Makani - Senior Manager, Dev Ops, Spotter Inc, Allentown, PA, USA

Mr. Tharun Anand Reddy Sure - Senior Software Engineer - iOS, ServiceNow, Austin, Texas, USA

Mr. Rudrendu Paul - Boston University, USA

Mr. Raghava Dittakavi - Team Lead, DevOps, Tracelink.INC, MA, United States

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  • AI-based clinical decision making;
  • Medical knowledge engineering;
  • Knowledge-based and agent-based systems;
  • Computational intelligence in bio- and clinical medicine;
  • Intelligent and process-aware information systems in healthcare and medicine;
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  • Chatbots in medical science
  • AI in gene editing
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  • Automated reasoning and meta-reasoning in medicine;
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  • AI and data science in medicine, medically-oriented human biology, and healthcare;
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  • Models and systems for AI-based population health;
  • AI in medical and healthcare education;
  • Methodological, philosophical, ethical, and social issues of AI in healthcare, medically-oriented human biology, and medicine.

IJAIMED Journal Stats

Publication years 2023-2023
Publication count 2
Total Volumes 1
Total Issues 1

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