Maxime SERMESANT – Computational Cardiology Group Leader – INRIA – Université de Côte d’Azur
Artificial Intelligence and Personalised Cardiac Modelling: Learning by Heart
Machine learning and biophysical modelling are very complementary approaches. The recent progress in computing power and available data makes it possible to develop accurate data-driven approaches for healthcare, while biophysical models offer a principled way to represent anatomy and physiology. In this talk, I will present research where we combine both methodologies in order to leverage their strengths. Different clinical applications in computational cardiology will be presented.
Maxime Sermesant’s web site : https://team.inria.fr/epione/fr/team/maxime-sermesant/