Detection of Hypertrophic Cardiomyopathy on Electrocardiogram Using Artificial Intelligence

The device identified HCM based on a 12-lead electrocardiogram with good performance. Coupled with clinical expertise, it has the potential to augment HCM detection and diagnosis.

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Publication Details

Journal
Circulation Heart Failure
Published
2025-05-14
DOI
https://doi.org/10.1161/circheartfailure.124.012667
Citations
6
Primary Topic
Cardiomyopathy and Myosin Studies
Type
article
Field-Weighted Citation Impact
8.33
Controls
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article

Detection of Hypertrophic Cardiomyopathy on Electrocardiogram Using Artificial Intelligence

Carolyn Yung Ho, Keith J. Dreyer, N. Bart, Alexander Blood et al.
6 citations
Circulation Heart Failure
Cardiomyopathy and Myosin Studies
8.33
article

Detection of Hypertrophic Cardiomyopathy on Electrocardiogram Using Artificial Intelligence

Carolyn Yung Ho, Keith J. Dreyer, N. Bart, Alexander Blood, Victor Nauffal, Danielle Toland, James Hillis, Ankita Ghatak, Amine Awad, Sarajune Dagen, Benjamin M. Scirica, Victor Tam, Filipe A. Moura, Karola Jering, David Bargiela, Bernardo C. Bizzo, Eric L’Italien, Mathew S. Lopes, Nicholas Marston, David A. Gross, Sarah F. Mercaldo, Alexander Schultz, Ashley L MacDonald, Madeleine A Halle
article en
6 citations

Abstract

The device identified HCM based on a 12-lead electrocardiogram with good performance. Coupled with clinical expertise, it has the potential to augment HCM detection and diagnosis.

Circulation Heart FailureVol. 18(7)
Brigham and Women's Hospital (US), MACOM (United States) (US), Massachusetts General Hospital (US)
Good health and well-being
Openalex Percentile: Top 2%
Cardiomyopathy and Myosin Studies
8.33
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