Artificial Intelligence Driving Diabetes Care
DOI:
https://doi.org/10.56570/jimgs.v2i1.92Keywords:
Artificial Intelligence, Diabetes, CGMS, Precision Medicine, Glucose Variability, Machine Learning, Diabetes ManagementAbstract
Artificial intelligence (AI), a technology reshaping healthcare, is used to investigate, gather data and draw conclusions from electronic medical records and imaging procedures. AI has been shown to aid in identifying, categorizing, diagnosing, and managing diabetic mellitus [1]. It will likely continue to do so with a clear understanding and the ability to find previously unidentified solutions [2]. AI has a role in diabetes helping to anticipate the diagnosis, provide nutrition and exercise goals, monitor complications, and assist with self-management [7]. We may now see the management of diabetes and other chronic diseases from a new viewpoint thanks to the expanded use of continuous glucose monitoring and the identification of patterns in glucose fluctuation known as glucose variability [3]. It has paved the way for in-depth research into the many new factors that affect managing diabetes such as socio-economic factors, sleep, and activity [1,2].References
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