From the Journals

AI's Expanding Role in Diabetes Care

Machine learning models applied to inpatient electronic health record data have predicted insulin needs more accurately than traditional guidelines.

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  • 1

    AI reshapes diabetes care through complication screening and risk stratification.

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    Projected 783 million with diabetes by

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    AI advances early detection of diabetic retinopathy and neuropathy.

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    AI enhances insulin optimization and glycemic control.

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    Patient self-management improved by AI interventions.

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    Challenges include privacy, model reliability, and demographic representation.

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    AI applications extend to administrative tasks and resource allocation.

Original Source(s)

AI's Expanding Role in Diabetes Care

Machine learning models applied to inpatient electronic health record data have predicted insulin needs more accurately than traditional guidelines.

  • by Margery Weinstein

  • March 4, 2026

  • 5 min

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