Anatomy-Informed Multimodal Learning for Myocardial Infarction Prediction

Anatomy-Informed Multimodal Learning for Myocardial Infarction Prediction

<italic>Goal:</italic> In patients with coronary artery disease, the prediction of future cardiac events such as myocardial infarction (MI) remains a major challenge. In this work, we propose a novel anatomy-informed multimodal deep learning framework to predict future MI from clinical d...

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Bibliographic Details
Main Authors: Ivan-Daniel Sievering, Ortal Senouf, Thabo Mahendiran, David Nanchen, Stephane Fournier, Olivier Muller, Pascal Frossard, Emmanuel Abbe, Dorina Thanou
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Engineering in Medicine and Biology
Subjects:
Coronary artery disease
deep learning
invasive coronary angiography
multimodal data
myocardial infarction
Online Access:https://ieeexplore.ieee.org/document/10540036/
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https://ieeexplore.ieee.org/document/10540036/

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