3D Cardiac Magnetic Resonance Substrate Features-Based Machine Learning Model for Post-myocardial Infarction Risk Stratification: a Multicenter Study

ML models using 3D CMR substrate features significantly improve post-MI MACE prediction compared with traditional methods, offering interpretable and personalized risk stratification tools.

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Publication Details

Journal
Canadian Journal of Cardiology
Published
2026-02-01
DOI
https://doi.org/10.1016/j.cjca.2026.01.064
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
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article

3D Cardiac Magnetic Resonance Substrate Features-Based Machine Learning Model for Post-myocardial Infarction Risk Stratification: a Multicenter Study

Ling J. Wang, X M Li, Xiaoying Zhao, Xinxiang Zhao
Canadian Journal of Cardiology
Cardiac Imaging and Diagnostics
article

3D Cardiac Magnetic Resonance Substrate Features-Based Machine Learning Model for Post-myocardial Infarction Risk Stratification: a Multicenter Study

Ling J. Wang, X M Li, Xiaoying Zhao, Xinxiang Zhao
article en

Abstract

ML models using 3D CMR substrate features significantly improve post-MI MACE prediction compared with traditional methods, offering interpretable and personalized risk stratification tools.

Canadian Journal of Cardiology
Army Medical University (CN), Kunming Medical University (CN), Daping Hospital (CN), Qujing Normal University (CN), First Affiliated Hospital of Kunming Medical University (CN), Yan'an Hospital Affiliated To Kunming Medical University (CN), Sixth Affiliated Hospital of Kunming Medical University (CN), University of Hong Kong (HK)
Openalex Percentile: Top 49%
Cardiac Imaging and Diagnostics
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