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Journal article

Hypertrophic cardiomyopathy detection with artificial intelligence electrocardiography in international cohorts: an external validation study

Abstract:

Aims: Recently, deep learning artificial intelligence (AI) models have been trained to detect cardiovascular conditions, including hypertrophic cardiomyopathy (HCM), from the 12-lead electrocardiogram (ECG). In this external validation study, we sought to assess the performance of an AI-ECG algorithm for detecting HCM in diverse international cohorts. Methods and results: A convolutional neural network-based AI-ECG algorithm was developed previously in a single-centre North American HCM cohor...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/ehjdh/ztae029

Authors


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Role:
Author
ORCID:
0000-0002-6658-0971
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Role:
Author
ORCID:
0000-0001-7950-2131
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Funder identifier:
https://ror.org/02qp3tb03
Publisher:
Oxford University Press
Journal:
European Heart Journal – Digital Health More from this journal
Volume:
5
Issue:
4
Pages:
416-426
Publication date:
2024-04-15
Acceptance date:
2024-03-11
DOI:
EISSN:
2634-3916
ISSN:
2634-3916
Language:
English
Keywords:
Source identifiers:
2143090
Deposit date:
2024-07-29

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