Cardiovascular diseases remain the leading cause of death worldwide. New, innovative approaches are needed to drive progress in this field. This has led to the genesis of the SwissCardIA collaboration, focusing on the use of artificial intelligence (AI) to improve the diagnosis, evaluation, and management of cardiovascular disease.
We believe that progress in this area requires a broad expertise to tackle the complexity of the tasks. SwissCardIA brings together a multidisciplinary research team with expertise in three key domains:
Moreover, SwissCardIA benefits from the support of the Center for Intelligent Systems (CIS) at EPFL.
|Professor Emmanuel Abbé (ML and DS)|
|Dr Denise Auberson (Cardiology)|
|Dr Edward Andò (Center for Imaging)|
|Professor Annalise Buffa (NM)|
|Adjunct Professor Simone Deparis (NM)|
|Dr Fabio Marcinno (NM)|
|Dr Stephane Fournier (Cardiology)|
|Professor Pascal Frossard (ML and signal processing)|
|Dr Thabo Mahendiran (Cardiology)|
|Professor Olivier Muller (Cardiology)|
|Dr David Nanchen (Cardiology)|
|Dr Mattia Pagnoni (Cardiology)|
|Dr Ortal Senouf (ML and DS)|
|Dr David Rotzinger (Radiology)|
|Dr Ricardo Tenderini (NM)|
|Dr Dorina Thanou (ML and signal processing)|
A major goal of the collaboration is the application of AI to improve the prediction of MI and other adverse patient events. Given the complexity of the prediction task, our approach involves the integration of multiple data sources:
This collaboration between EPFL, Unisanté-CHUV, Direction générale de la santé (Vaud), and the Novartis Foundation will aim to improve the stratification of cardiovascular disease (CVD) risk in Lausanne. In particular, our approach focuses on health inequalities and integrates the social determinants of health - the economic, social, environmental, and psychosocial factors that influence health. These are important drivers of CVD that are not accounted for in current mainstream risk calculators.