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Artificial intelligence (AI) offers transformative potential in diabetes management, with numerous applications now available. These AI tools aim to improve blood glucose control and reduce complications for millions of people with diabetes.

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Diabetes Technology

Background:

  • Diabetes affects 425 million globally, representing 12% of world health expenditures.
  • Half of individuals with diabetes remain undiagnosed and untreated, highlighting a significant care gap.
  • Artificial intelligence (AI) and cognitive computing present promising avenues for enhancing diabetes care.

Purpose of the Study:

  • To identify and understand current AI advancements relevant to diabetes care for patients, clinicians, and caregivers.
  • To explore the practical applications of AI in transforming the management of diabetes.

Main Methods:

  • A predefined online PubMed search was conducted using terms "diabetes" and "artificial intelligence" for articles from 2009 onwards.
  • Inclusion criteria focused on clinically relevant, high-impact articles, excluding purely technical studies.
  • A total of 450 relevant articles were identified and analyzed.

Main Results:

  • AI applications are transforming diabetes care across four key areas: automated retinal screening, clinical decision support, predictive population risk stratification, and patient self-management tools.
  • Numerous AI-powered tools, including retinal imaging systems, predictive models, glucose sensors, insulin pumps, and smartphone apps, are currently available or emerging.
  • These innovations demonstrate AI's capacity to enhance accuracy, efficiency, and user satisfaction in diabetes management.

Conclusions:

  • AI applications hold significant potential to revolutionize diabetes care, leading to improved glycemic control and reduced complications.
  • AI tools can empower individuals with diabetes (PWDs), clinicians, and caregivers with more effective management strategies.
  • The integration of AI promises greater accuracy, efficiency, and satisfaction for all stakeholders involved in diabetes care.