Artificial intelligence-assisted remote detection of ST-elevation myocardial infarction using a mini-12-lead electrocardiogram device in prehospital ambulance care

OBJECTIVE: To implement an all-day online artificial intelligence (AI)-assisted detection of ST-elevation myocardial infarction (STEMI) by prehospital 12-lead electrocardiograms (ECGs) to facilitate patient triage for timely reperfusion therapy. METHODS: The proposed AI model combines a convolutiona...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614054/
https://www.ncbi.nlm.nih.gov/pubmed/36312246
http://dx.doi.org/10.3389/fcvm.2022.1001982

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614054/
https://www.ncbi.nlm.nih.gov/pubmed/36312246
http://dx.doi.org/10.3389/fcvm.2022.1001982

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