Publications by Stéphane Fournier

Combining European and US risk prediction models with polygenic risk scores to refine cardiovascular prevention: the CoLaus|PsyCoLaus Study

Jacques Fellay, Christian Axel Wandall Thorball, Stéphane Fournier, Roxane De La Harpe

Lay Summary The aim of this study is to determine whether using polygenic risk scores improves the prediction of atherosclerotic cardiovascular disease risk when combined with clinical scores currently recommended by European and US guidelines on cardiovas ...

OXFORD UNIV PRESS2023

ChatGPT takes on the European Exam in Core Cardiology: an artificial intelligence success story?

Emmanuel Abbé, Thabodhan Mahendiran, Olivier Muller, Stéphane Fournier

Chat Generative Pre-trained Transformer (ChatGPT) is currently a trending topic worldwide triggering extensive debate about its predictive power, its potential uses, and its wider implications. Recent publications have demonstrated that ChatGPT can correct ...

Oxford Univ Press2023

ChatGPT takes on the european exam in core cardiology: an AI success story

Emmanuel Abbé, Olivier Muller, Stéphane Fournier

Oxford Univ Press2023

Attention-based learning of views fusion applied to myocardial infarction diagnosis from x-ray CT

Pascal Frossard, Emmanuel Abbé, Ortal Yona Senouf, Olivier Muller, Ntorina Thanou, Stéphane Fournier, Jakub Jan Gwizdala, David Meier

2022

Anatomy-informed multimodal learning for myocardial infarction prediction

Pascal Frossard, Emmanuel Abbé, Ortal Yona Senouf, Olivier Muller, Ntorina Thanou, Thabodhan Mahendiran, Ivan-Daniel Sievering, Stéphane Fournier

2022

Predicting future myocardial infarction from angiographies with deep learning

Pascal Frossard, Emmanuel Abbé, Ortal Yona Senouf, Olivier Muller, Ntorina Thanou, Thabodhan Mahendiran, Omar Raita, Stéphane Fournier, David Meier, Nicolas Dayer

In patients with stable Coronary Artery Disease (CAD), the identification of lesions which will be responsible of a myocardial infarction (MI) during follow-up remains a daily challenge. In this work, we propose to predict culprit stenosis by applying a de ...

2021