Machine Learning Using Clinical and Cardiac MRI Features to Predict Long-term Outcomes in Acute STEMI

Radiology 2026

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Authors: WeiHui Xie, RuoYang Shi, Jinyi Xiang, Binghua Chen, Dong-Aolei An, Yan Zhou, Lei Zhao, Jun Pu, L Wu
DOI: 10.1148/radiol.251490
Cited by: 2
References: 22

Abstract

A machine learning model that integrates clinical and cardiac MRI parameters outperformed a traditional clinical model, Cox regression, and established risk scores in predicting major adverse cardiovascular events in patients with ST-segment elevation myocardial infarction.

Fields of Study & Subjects

Acute Myocardial Infarction Research Cardiac Imaging and Diagnostics Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
Radiology
Publisher
Radiological Society of North America (RSNA)
Volume
318
Issue
2
Pages
e251490–e251490
Publication date
1 February 2026
Language
EN