Prediction of Atrial Fibrillation From the ECG in the Community Using Deep Learning: A Multinational Study.
- DOI
- 10.1161/circep.125.013734
- Published
- 2025 Oct
- Container
- Circulation. Arrhythmia and electrophysiology
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1161/circep.125.013734,
title = {Prediction of Atrial Fibrillation From the ECG in the Community Using Deep Learning: A Multinational Study.},
author = {Brant LCC and Ribeiro AH and Eromosele OB and Pinto-Filho MM and Barreto SM and Duncan BB and Larson MG and Benjamin EJ and Ribeiro ALP and Lin H},
year = {2025},
journal = {Circulation. Arrhythmia and electrophysiology},
doi = {10.1161/circep.125.013734},
url = {https://doi.org/10.1161/circep.125.013734}
}RIS
TY - JOUR TI - Prediction of Atrial Fibrillation From the ECG in the Community Using Deep Learning: A Multinational Study. AU - Brant LCC AU - Ribeiro AH AU - Eromosele OB AU - Pinto-Filho MM AU - Barreto SM AU - Duncan BB AU - Larson MG AU - Benjamin EJ AU - Ribeiro ALP AU - Lin H PY - 2025 JO - Circulation. Arrhythmia and electrophysiology DO - 10.1161/circep.125.013734 UR - https://doi.org/10.1161/circep.125.013734 ER -
APA
LCC, B., AH, R., OB, E., MM, P., SM, B., BB, D., MG, L., EJ, B., ALP, R., & H, L. (2025). Prediction of Atrial Fibrillation From the ECG in the Community Using Deep Learning: A Multinational Study.. Circulation. Arrhythmia and electrophysiology. https://doi.org/10.1161/circep.125.013734
Source records
- pubmed · retrieved 2026-09-26T19:39:24.158Z