AI-Powered Carbohydrate Counting for Type 1 Diabetes: Accuracy and Real-World Performance Article Swipe

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Nicola Tecce , Claudia Vetrani , Annalisa Pelosi , Maddalena Alfiore , Davide Mayol , Maria Grazia Maddaloni , Massimo Amodio , Annamaria Colao ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.2337/dc25-0303

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Medicine Diabetes mellitus Type 2 diabetes Internal medicine Endocrinology

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Type: letter
Language: en
Landing Page: https://doi.org/10.2337/dc25-0303
PDF: https://diabetesjournals.org/care/article-pdf/doi/10.2337/dc25-0303/811016/dc250303.pdf
OA Status: hybrid
Cited By: 1
References: 5
Related Works: 10
OpenAlex ID: https://openalex.org/W4410577266

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OpenAlex ID: https://openalex.org/W4410577266

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DOI: https://doi.org/10.2337/dc25-0303

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Title: AI-Powered Carbohydrate Counting for Type 1 Diabetes: Accuracy and Real-World Performance

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Type: letter

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Language: en

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Publication year: 2025

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Publication date: 2025-05-21

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Authors: Nicola Tecce, Claudia Vetrani, Annalisa Pelosi, Maddalena Alfiore, Davide Mayol, Maria Grazia Maddaloni, Massimo Amodio, Annamaria Colao

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Landing page: https://doi.org/10.2337/dc25-0303

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PDF URL: https://diabetesjournals.org/care/article-pdf/doi/10.2337/dc25-0303/811016/dc250303.pdf

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Open access: Yes

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OA status: hybrid

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OA URL: https://diabetesjournals.org/care/article-pdf/doi/10.2337/dc25-0303/811016/dc250303.pdf

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Concepts: Medicine, Diabetes mellitus, Type 2 diabetes, Internal medicine, Endocrinology

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Cited by: 1

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