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Authors
Holmstrom, Lauri
Chugh, Harpriya
Nakamura, Kotoka https://orcid.org/0000-0001-5263-5006
Bhanji, Ziana
Seifer, Madison
Uy-Evanado, Audrey
Reinier, Kyndaron https://orcid.org/0000-0002-2588-6827
Ouyang, David https://orcid.org/0000-0002-3813-7518
Chugh, Sumeet S.
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Funding
Funding for this research was provided by:
U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (R01HL145675, R01HL147358)
U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute
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Article History
Received: 27 May 2023
Accepted: 2 February 2024
First Online: 27 February 2024
Competing interests
: The authors declare the following competing interests: The deep learning techniques for predicting sudden cardiac death risk discussed in this manuscript relate to pending US provisional patent application 63/500,550 naming Cedars-Sinai Medical Center as the applicant and listing S.S.C and D.O. as the inventors. The remaining authors declare no competing interests.
