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

Diabetes Care. 2025 Aug 1;48(8):e97-e98. doi: 10.2337/dc25-0303.

Authors

Nicola Tecce¹, Claudia Vetrani², Anna Lisa Pelosi¹, Maddalena Alfiore¹, Davide Mayol³, Maria Grazia Maddaloni¹, Martina Amodio¹, Annamaria Colao^{1

4}

Affiliations

¹ Department of Clinical Medicine and Surgery and Department of Endocrinology, University of Naples Federico II, Naples, Italy.
² Department of Psychology and Health Sciences, Pegaso Telematic University, Naples, Italy.
³ Department of Education and Sport Sciences, Pegaso Telematic University, Naples, Italy.
⁴ Unesco Chair for Health Education and Sustainable Development, University of Naples Federico II, Naples, Italy.

PMID: 40397829
DOI: 10.2337/dc25-0303

No abstract available

Publication types

Letter

Grants and funding

Project code PE00000003/National Recovery and Resilience Plan (NRRP), Mission 4, Component 2, Investment 1.3, ON Foods Research and Innovation Network on Food and Nutrition Sustainability, Safety and Security Working ON Foods?