Artificial Intelligence for Diabetes Complication Prediction: A Systematic Review of Current Applications and Future Directions
Despite the extensive existing literature on AI for predicting diabetes complications, several emerging challenges persist. These include the effective utilization of unstructured data and the integration of recent advancements introduced by foundation models and generative AI.
Authors
- Riccardo Bellazzi (ORCID: https://orcid.org/0000-0002-6974-9808)
- Pasquale De Cata (ORCID: https://orcid.org/0000-0002-6342-1203)
- Pietro Bosoni (ORCID: https://orcid.org/0000-0002-1431-6044)
- Lucia Sacchi (ORCID: https://orcid.org/0000-0002-1390-9825)
- Stefania Ghilotti
- Francesca Pescol (ORCID: https://orcid.org/0009-0003-2384-1945)
Institutions
- University of Pavia (IT)
- Istituti Clinici Scientifici Maugeri (IT)
Publication Details
- Journal
- Journal of Diabetes Science and Technology
- Published
- 2025-11-29
- DOI
- https://doi.org/10.1177/19322968251384314
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00