Artificial Intelligence for Diabetes Complication Prediction: A Systematic Review of Current Applications and Future Directions.

ABSTRACT: Importance and aims:Diabetes can lead to microvascular and macrovascular complications. Modeling the complex relationships between risk factors has motivated the use of Artificial Intelligence (AI) to develop predictive models. Recent advancements, including foundation models and generative AI, have significantly changed how this technology is applied across various contexts. In this review, we summarize the current state of research on AI for predictive diabetes complications, investigating the present and future implications of these innovations.

Methods

We conducted the literature search on PubMed, Scopus, Ovid MEDLINE, CINAHL, and IEEE databases. Our analysis focused on predicted complications, population characteristics, use of AI-based approaches, models' performance, predicto

SUBMITTER: Pescol F 

PROVIDER: S-EPMC12664787 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature