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. 2023 Jun 29;29(7):1804–1813. doi: 10.1038/s41591-023-02396-3

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© The Author(s) 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Extended Data Fig. 4 — This figure shows an ECG that was correctly reclassified as occlusion myocardial infarction by the machine learning model. This baseline ECG was for a 67-year-old male with a past medical history of high cholesterol and a prior myocardial infarction. The ST-depression in anterior-lateral leads were noted, and the patient was triaged as intermediate risk. The OMI score was 49 indicating the need to up-triage. The patient was later sent to the catheterization lab where he had complete occlusion of the right coronary artery.