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AI-supported insulin dosing for type 2 diabetes

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A novel AI-based decision support system for insulin titration in type 2 diabetes reveals important considerations surrounding the feasibility of clinical implementation.

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Author information

Authors and Affiliations

  1. Department of Medicine, Division of Endocrinology, Metabolism and Lipids, Emory University, Atlanta, GA, USA

    Georgia M. Davis & Francisco J. Pasquel

  2. Emory Global Diabetes Research Center of Woodruff Health Sciences Center, Emory University, Atlanta, GA, USA

    Georgia M. Davis & Francisco J. Pasquel

  3. Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA

    Hui Shao

  4. Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA

    Hui Shao

Authors
  1. Georgia M. Davis
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  2. Hui Shao
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  3. Francisco J. Pasquel
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Corresponding author

Correspondence to Georgia M. Davis.

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Competing interests

G.M.D. reports research support from Insulet and consulting for Medscape. H.S. reports consulting for Eli Lilly, Sanofi and Johnson & Johnson. F.J.P. reports research support from Dexcom, Insulet, Novo Nordisk, Tandem and Ideal Medical Technologies and consulting for Dexcom and Medscape.

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Davis, G.M., Shao, H. & Pasquel, F.J. AI-supported insulin dosing for type 2 diabetes. Nat Med 29, 2414–2415 (2023). https://doi.org/10.1038/s41591-023-02573-4

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  • DOI: https://doi.org/10.1038/s41591-023-02573-4

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