Large Language Models in Diabetes Management: The Need for Human and Artificial Intelligence Collaboration.
Publication
, Journal Article
Pavon, JM; Schlientz, D; Maciejewski, ML; Economou-Zavlanos, N; Lee, RH
Published in: Diabetes Care
February 1, 2025
Duke Scholars
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Published In
Diabetes Care
DOI
EISSN
1935-5548
Publication Date
February 1, 2025
Volume
48
Issue
2
Start / End Page
182 / 184
Location
United States
Related Subject Headings
- Endocrinology & Metabolism
- 42 Health sciences
- 32 Biomedical and clinical sciences
- 11 Medical and Health Sciences
Citation
APA
Chicago
ICMJE
MLA
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Pavon, J. M., Schlientz, D., Maciejewski, M. L., Economou-Zavlanos, N., & Lee, R. H. (2025). Large Language Models in Diabetes Management: The Need for Human and Artificial Intelligence Collaboration. Diabetes Care, 48(2), 182–184. https://doi.org/10.2337/dci24-0079
Pavon, Juliessa M., David Schlientz, Matthew L. Maciejewski, Nicoleta Economou-Zavlanos, and Richard H. Lee. “Large Language Models in Diabetes Management: The Need for Human and Artificial Intelligence Collaboration.” Diabetes Care 48, no. 2 (February 1, 2025): 182–84. https://doi.org/10.2337/dci24-0079.
Pavon JM, Schlientz D, Maciejewski ML, Economou-Zavlanos N, Lee RH. Large Language Models in Diabetes Management: The Need for Human and Artificial Intelligence Collaboration. Diabetes Care. 2025 Feb 1;48(2):182–4.
Pavon, Juliessa M., et al. “Large Language Models in Diabetes Management: The Need for Human and Artificial Intelligence Collaboration.” Diabetes Care, vol. 48, no. 2, Feb. 2025, pp. 182–84. Pubmed, doi:10.2337/dci24-0079.
Pavon JM, Schlientz D, Maciejewski ML, Economou-Zavlanos N, Lee RH. Large Language Models in Diabetes Management: The Need for Human and Artificial Intelligence Collaboration. Diabetes Care. 2025 Feb 1;48(2):182–184.
Published In
Diabetes Care
DOI
EISSN
1935-5548
Publication Date
February 1, 2025
Volume
48
Issue
2
Start / End Page
182 / 184
Location
United States
Related Subject Headings
- Endocrinology & Metabolism
- 42 Health sciences
- 32 Biomedical and clinical sciences
- 11 Medical and Health Sciences