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Artificial intelligence to detect abnormal heart rhythm from scanned electrocardiogram tracings
BACKGROUND: Electrocardiogram (ECG) interpretation is an integral part of the clinical ECG workflow; however, this process is often time‐consuming and labor‐intensive. We aim to develop a rapid, inexpensive means to detect abnormal ECGs using artificial intelligence (AI) from scanned ECG printouts....
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9237304/ https://www.ncbi.nlm.nih.gov/pubmed/35785392 http://dx.doi.org/10.1002/joa3.12707 |