Front. Cardiovasc. Med.Frontiers in Cardiovascular MedicineFront. Cardiovasc. Med.2297-055XFrontiers Media S.A.10.3389/fcvm.2024.1396396Cardiovascular MedicineErratumErratum: Convolutional neural network (CNN)-enabled electrocardiogram (ECG) analysis: a comparison between standard twelve-lead and single-lead setupsFrontiers Production Office*Frontiers Media SA, Lausanne, Switzerland
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artificial intelligencedeep learningelectrocardiogramsingle-leadscreeningsection-at-acceptanceCardiac RhythmologyAn Erratum on: Convolutional neural network (CNN)-enabled electrocardiogram (ECG) analysis: a comparison between standard twelve-lead and single-lead setups By Saglietto A, Baccega D, Esposito R, Anselmino M, Dusi V, Fiandrotti A and De Ferrari GM (2024). Front. Cardiovasc. Med. 11:1327179. doi: 10.3389/fcvm.2024.1327179
Due to a production error, the first sentence of the Results paragraph in the abstract was incorrectly given as “The CNN based on single-lead ECG (D1) outperformed the one based on the standard 12-lead framework [with an average percentage difference of the area under the curve (AUC) of −8.7%].”.
This has been corrected to “The CNN based on single-lead ECG (D1) achieved satisfactory performance compared to the standard 12-lead framework (average percentage AUC difference: −8.7%).”
The publisher apologizes for this mistake. The original version of this article has been updated.