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Artificial Intelligence/Machine Learning in Diabetes Care.

Rajiv Singla1, Ankush Singla2, Yashdeep Gupta3

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Summary
This summary is machine-generated.

Artificial intelligence and machine learning (AI/ML) can improve diabetes care efficiency in India. Leveraging electronic medical records with AI/ML can provide unique insights and tailor-made solutions for the country's diabetes challenges.

Keywords:
Artificial intelligencediabetes caremachine learning

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Area of Science:

  • Healthcare technology
  • Medical informatics
  • Diabetes management

Background:

  • Artificial intelligence/Machine learning (AI/ML) is increasingly integrated into healthcare systems.
  • AI/ML offers significant potential to improve the efficiency and reach of diabetes care.
  • India's substantial diabetes burden presents a unique opportunity for data-driven research.

Purpose of the Study:

  • To explore the application of AI/ML in enhancing diabetes care within the Indian healthcare system.
  • To highlight the potential of utilizing electronic medical records for AI/ML-driven diabetes research in India.
  • To identify how AI/ML can provide insights and tailor-made solutions for diabetes management in India.

Main Methods:

  • Analysis of the potential for AI/ML application in diabetes care.
  • Exploration of data availability from electronic medical records in India.
  • Review of existing challenges and opportunities in diabetes management.

Main Results:

  • AI/ML can significantly enhance the efficiency and accessibility of diabetes care.
  • The widespread use of electronic medical records by physicians can generate valuable datasets.
  • Harnessing these datasets can position India as a leader in diabetes research.

Conclusions:

  • AI/ML applications hold promise for transforming diabetes care in India.
  • Utilizing electronic medical records is crucial for unlocking AI/ML's potential in this domain.
  • Tailor-made solutions for India's specific diabetes challenges can be developed through AI/ML insights.