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Artificial Intelligence for Cardiac Biomarkers After Myocardial Infarction: A Systematic Review and a Leakage-Aware Modeling Framework

2026-04-29

Abstract excerpt

<h4>Aims</h4> To systematically evaluate how artificial intelligence and machine-learning (AI/ML) methods are applied to cardiac biomarkers after myocardial infarction (MI), identify recurring methodological limitations, and operationalize a leakage-aware modelling workflow in a proof-of-concept post-MI dataset using a controlled proxy classification task. <h4>Methods and results</h4> A PRISMA 2020-compliant sys...

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Literature Corpus work
22624c92-c4a3-5746-b332-be20470d4426
DOI
10.64898/2026.04.28.26351958
Open publication

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Artificial Intelligence for Cardiac Biomarkers After Myocardial Infarction: A Systematic Review and a Leakage-Aware Modeling FrameworkDOI 10.64898/2026.04.28.26351958
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