AI for Health
Learning from limited, heterogeneous and imperfect medical data for diagnosis, prognosis and clinical decision support.
Explore this areaELLIS Côte d’Azur brings together EURECOM, the Inria Centre at Université Côte d’Azur, and Institut Mines-Télécom (IMT) to advance the foundations and applications of artificial intelligence.
Based in Sophia Antipolis, the unit connects expertise in statistical learning, generative models, computer vision, AI for health, and knowledge-based systems. Our ambition is to develop AI that uses data and computing resources efficiently and can be trusted in demanding real-world settings.
Our research spans three pillars: AI Foundations; AI for Health; and Systems and Knowledge Management for AI. Building on the 3IA Côte d’Azur ecosystem, we promote open, reproducible research and scientific exchange across Europe.
Learning from limited, heterogeneous and imperfect medical data for diagnosis, prognosis and clinical decision support.
Explore this areaFundamental methods for machine learning, generative modeling and computer vision, with an emphasis on data efficiency and reliability.
Explore this areaFrugal, scalable and explainable infrastructures, federated learning, language models, knowledge graphs and symbolic reasoning.
Explore this areaELLIS Côte d’Azur brings together EURECOM, Inria and IMT to advance robust, frugal and trustworthy AI from Sophia Antipolis.
Read article: ELLIS Côte d’Azur goes live!