Artificial intelligence is taking on an increasingly important role in diabetes management, particularly in the prevention of complications and the personalization of care pathways.

Read our Q&A with 4 key questions.

1. What is the role of AI in diabetes management?
Artificial intelligence supports physicians in analyzing large volumes of clinical data, helping to identify patterns, evolving trends, and risk factors that are difficult to detect through traditional analysis.
It does not replace clinical judgment, but strengthens it, contributing to more timely and informed decisions.

2. In which clinical areas is it most useful?
AI is applied in predicting the risk of developing complications and in monitoring clinical progression over time.
In diabetology, it is particularly relevant for the prevention of cardiovascular, nephrological, neurological, ophthalmological, and metabolic complications, supporting a more proactive management of the disease.

3. How is it integrated into care pathways?
Algorithms are integrated into the electronic medical record, allowing the benefits of AI to be accessed directly within care pathways, without the need for separate tools disconnected from daily clinical practice.

4. What is the value for physicians and patients?
For physicians, AI represents a data- and evidence-based decision support tool, useful for guiding follow-up and preventive strategies.
For patients, it means more personalized care pathways, more effective prevention of complications, and more continuous and informed long-term care.