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Machine learning-based prediction of myocardial ischemia-reperfusion injury in patients with ST-segment elevation myocardial infarction: the STEMI-MIRI prediction model

Crossref DOI link: https://doi.org/10.1186/s12872-026-05655-6

Published Online: 2026-03-27

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wan, Peishan

Xie, Huaijin

Fu, Zhongjie

Zhou, Sikun

You, Qiong
License Information

Text and Data Mining valid from 2026-03-27

Accepted Manuscript valid from 2026-03-27
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Article History

Received: 28 November 2025

Accepted: 23 February 2026

First Online: 27 March 2026

Declarations

:

: This study was approved by the Ethics Committee of the Affiliated Hospital of Guangdong Medical University (Ethics No: PJKT2025-282). All procedures were conducted in accordance with the Declaration of Helsinki and relevant ethical guidelines. Written informed consent was waived by the ethics committee due to the retrospective nature of this study; however, patients who had previously documented refusal of data use for research purposes were excluded. As all data were collected from a single institution (including temporal validation cohort), this waiver applies to the entire study population.

: Not Applicable.

: The authors declare no competing interests.

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