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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Artificial intelligence (AI) is significantly transforming diabetes care through advancements in complication screening, risk stratification, and treatment optimization. With a global diabetes prevalence projected to rise from 537 million to 783 million by 2045, AI technologies, including machine learning, are being utilized to enhance clinical workflows, enabling early detection and personalized treatment. Dr. Rohit Parab and colleagues highlight AI's potential in optimizing insulin delivery and improving patient self-management, amidst ongoing challenges related to data privacy and model reliability.

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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