Journal article : Editorial
Scalable screening for structural heart disease: promises from artificial intelligence-electrocardiogram tools
- Abstract:
- This editorial refers to ‘Development and Multinational Validation of an Ensemble Deep Learning Algorithm for Detecting and Predicting Structural Heart Disease Using Noisy Single-lead Electrocardiograms’, by A. Aminorroaya et al., https://doi:10.1093/ehjdh/ztaf034.
- Publication status:
- Published
- Peer review status:
- Reviewed (other)
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- Files:
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(Preview, Version of record, pdf, 8.7MB, Terms of use)
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- Publisher copy:
- 10.1093/ehjdh/ztaf048
Authors
+ European Commission
More from this funder
- Funder identifier:
- https://ror.org/00k4n6c32
- Grant:
- 965286
+ British Heart Foundation
More from this funder
- Funder identifier:
- https://ror.org/02wdwnk04
- Grant:
- RG/F/21/110040
- CH/F/21/90009
- TG/19/2/34831
- Publisher:
- Oxford University Press
- Journal:
- European Heart Journal – Digital Health More from this journal
- Volume:
- 6
- Issue:
- 4
- Pages:
- 521–523
- Place of publication:
- England
- Publication date:
- 2025-05-27
- DOI:
- EISSN:
-
2634-3916
- ISSN:
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2634-3916
- Pmid:
-
40703114
- Language:
-
English
- Subtype:
-
Editorial
- Pubs id:
-
2127227
- Local pid:
-
pubs:2127227
- Deposit date:
-
2025-08-06
- ARK identifier:
Terms of use
- Copyright holder:
- Antoniades and Chan
- Copyright date:
- 2025
- Rights statement:
- © The Author(s) 2025. Published by Oxford University Press on behalf of the European Society of Cardiology. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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