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A deep neural network for 12-lead electrocardiogram interpretation outperforms a conventional algorithm, and its physician overread, in the diagnosis of atrial fibrillation
BACKGROUND: Automated electrocardiogram (ECG) interpretations may be erroneous, and lead to erroneous overreads, including for atrial fibrillation (AF). We compared the accuracy of the first version of a new deep neural network 12-Lead ECG algorithm (Cardiologs®) to the conventional Veritas algorith...
שמור ב:
| הוצא לאור ב: | Int J Cardiol Heart Vasc |
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| Main Authors: | , , , , , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Elsevier
2019
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6737299/ https://ncbi.nlm.nih.gov/pubmed/31517038 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ijcha.2019.100423 |
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