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Corrigendum: Artificial intelligence-assisted remote detection of ST-elevation myocardial infarction using a mini-12-lead electrocardiogram device in prehospital ambulance care
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780667/ https://www.ncbi.nlm.nih.gov/pubmed/36568545 http://dx.doi.org/10.3389/fcvm.2022.1078223 |
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author | Chen, Ke-Wei Wang, Yu-Chen Liu, Meng-Hsuan Tsai, Being-Yuah Wu, Mei-Yao Hsieh, Po-Hsin Wei, Jung-Ting Shih, Edward S. C. Shiao, Yi-Tzone Hwang, Ming-Jing Wu, Ya-Lun Hsu, Kai-Cheng Chang, Kuan-Cheng |
author_facet | Chen, Ke-Wei Wang, Yu-Chen Liu, Meng-Hsuan Tsai, Being-Yuah Wu, Mei-Yao Hsieh, Po-Hsin Wei, Jung-Ting Shih, Edward S. C. Shiao, Yi-Tzone Hwang, Ming-Jing Wu, Ya-Lun Hsu, Kai-Cheng Chang, Kuan-Cheng |
author_sort | Chen, Ke-Wei |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-9780667 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97806672022-12-24 Corrigendum: Artificial intelligence-assisted remote detection of ST-elevation myocardial infarction using a mini-12-lead electrocardiogram device in prehospital ambulance care Chen, Ke-Wei Wang, Yu-Chen Liu, Meng-Hsuan Tsai, Being-Yuah Wu, Mei-Yao Hsieh, Po-Hsin Wei, Jung-Ting Shih, Edward S. C. Shiao, Yi-Tzone Hwang, Ming-Jing Wu, Ya-Lun Hsu, Kai-Cheng Chang, Kuan-Cheng Front Cardiovasc Med Cardiovascular Medicine Frontiers Media S.A. 2022-12-09 /pmc/articles/PMC9780667/ /pubmed/36568545 http://dx.doi.org/10.3389/fcvm.2022.1078223 Text en Copyright © 2022 Chen, Wang, Liu, Tsai, Wu, Hsieh, Wei, Shih, Shiao, Hwang, Wu, Hsu and Chang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cardiovascular Medicine Chen, Ke-Wei Wang, Yu-Chen Liu, Meng-Hsuan Tsai, Being-Yuah Wu, Mei-Yao Hsieh, Po-Hsin Wei, Jung-Ting Shih, Edward S. C. Shiao, Yi-Tzone Hwang, Ming-Jing Wu, Ya-Lun Hsu, Kai-Cheng Chang, Kuan-Cheng Corrigendum: Artificial intelligence-assisted remote detection of ST-elevation myocardial infarction using a mini-12-lead electrocardiogram device in prehospital ambulance care |
title | Corrigendum: Artificial intelligence-assisted remote detection of ST-elevation myocardial infarction using a mini-12-lead electrocardiogram device in prehospital ambulance care |
title_full | Corrigendum: Artificial intelligence-assisted remote detection of ST-elevation myocardial infarction using a mini-12-lead electrocardiogram device in prehospital ambulance care |
title_fullStr | Corrigendum: Artificial intelligence-assisted remote detection of ST-elevation myocardial infarction using a mini-12-lead electrocardiogram device in prehospital ambulance care |
title_full_unstemmed | Corrigendum: Artificial intelligence-assisted remote detection of ST-elevation myocardial infarction using a mini-12-lead electrocardiogram device in prehospital ambulance care |
title_short | Corrigendum: Artificial intelligence-assisted remote detection of ST-elevation myocardial infarction using a mini-12-lead electrocardiogram device in prehospital ambulance care |
title_sort | corrigendum: artificial intelligence-assisted remote detection of st-elevation myocardial infarction using a mini-12-lead electrocardiogram device in prehospital ambulance care |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780667/ https://www.ncbi.nlm.nih.gov/pubmed/36568545 http://dx.doi.org/10.3389/fcvm.2022.1078223 |
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