AI for Cardiovascular Risk in Diabetes – MICELAB at SEEN 2025

On May 8th, 2025, Professor Josep Vehí from MICELAB – University of Girona was invited to speak at the VII Reunión Anual del Área de Diabetes, organized by the Spanish Society of Endocrinology and Nutrition (SEEN).

Held in Madrid, the event brought together experts in endocrinology and diabetes care from across Spain and beyond.


🎙️ Featured Talk

“Papel de la IA en la estimación del RCV”
The Role of AI in Estimating Cardiovascular Risk

Professor Vehí’s talk explored how artificial intelligence—including machine learning, deep learning, and generative AI—is reshaping cardiovascular risk (RCV) prediction for people living with diabetes.


🔍 Key Highlights

  • Deep Learning for Retinal Imaging
    Using convolutional neural networks (CNNs) and EfficientNet architectures to predict cardiovascular events from retinal scans.

  • Digital Twins & Virtual Patients
    Leveraging AI-driven simulations for personalized, real-time cardiovascular risk estimation.

  • Integrating Multi-Source Health Data
    Combining inputs from CGM systems, genetic data, medical imaging, lifestyle, and environmental sources to improve prediction accuracy.

  • Foundation Models in Diabetes Care
    Exploring the role of large language models (LLMs) and vision transformers in personalized diabetes management.

  • Ethical and Practical Challenges
    Addressing critical topics such as data privacy, model explainability, and clinical robustness.


🚀 Looking Ahead

As artificial intelligence continues to evolve, so does its impact on healthcare. This talk reinforced a shared vision: the future of clinical practice in diabetes is intelligent, personalized, and proactive.

MiCeLab is proud to be leading research that brings this future closer to reality.

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