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September 17, 2025Open Access

A deep learning ECG model for localization of occlusion myocardial infarction

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Authors

SGStefan GustafssonARAntônio H. RibeiroDGDaniel Gedon

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Overview

Deep learning model identifies acute coronary occlusions in myocardial infarction, indicating improved outcomes.

Key Points

  • The model achieved a C-statistic of >0.95 for detecting occlusion myocardial infarctions.
  • Results were consistent across age, sex, and ECG hardware subgroups, showing its broad applicability.
  • The deep learning model can localize renal and vascular lesions, potentially guiding the angiographer effectively.
  • This approach may shorten time to reperfusion and reduce the need for unnecessary angiographies.

Cite This Study

Gustafsson et al. (2025) studied this question.

synapsesocial.com/papers/68d45e6a31b076d99fa5f057https://doi.org/10.1101/2025.09.11.25335407
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