Stéphane Fournier

Cette personne n’est plus à l’EPFL

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Publications associées (6)

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

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

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, Stéphane Fournier, Thabodhan Mahendiran, Olivier Muller

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, Stéphane Fournier, Olivier Muller

Oxford Univ Press2023

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

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

2022

Anatomy-informed multimodal learning for myocardial infarction prediction

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

2022

Predicting future myocardial infarction from angiographies with deep learning

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

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

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