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Editorial
. 2024 Dec;17(12):e011483.
doi: 10.1161/CIRCOUTCOMES.124.011483. Epub 2024 Nov 14.

Artificial Intelligence Applications for Electrocardiography to Define New Digital Biomarkers of Cardiovascular Risk

Veer Sangha  1   2 , Rohan Khera  1   3   4
Affiliations
Editorial

Artificial Intelligence Applications for Electrocardiography to Define New Digital Biomarkers of Cardiovascular Risk

Veer Sangha et al. Circ Cardiovasc Qual Outcomes. 2024 Dec.
No abstract available

Keywords: Editorials; arrhythmias, cardiac; artificial intelligence; cardiovascular diseases; electrocardiograms.

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Conflict of interest statement

V. Sangha and Dr Khera are co-inventors of US Pending Patent Applications 63/428,569, 63/346,610, and 63/484,426. They are academic co-founders of Ensight-AI, Inc. Dr Khera is an associate editor of JAMA. In addition to support from the National Institutes of Health and the Doris Duke Foundation, he also receives research support, through Yale, from the Blavatnik Foundation, Bristol Myers Squibb, Novo Nordisk, and BridgeBio. He is a co-inventor of US Pending Patent Applications 63/177,117, 63/508,315, and 63/606,203. He is an academic co-founder of Evidence2Health, a health platform to improve cardiovascular diagnosis and evidence-based cardiovascular care.

Comment on

  • Prognostic Significance and Associations of Neural Network-Derived Electrocardiographic Features.
    Sau A, Ribeiro AH, McGurk KA, Pastika L, Bajaj N, Gurnani M, Sieliwonczyk E, Patlatzoglou K, Ardissino M, Chen JY, Wu H, Shi X, Hnatkova K, Zheng SL, Britton A, Shipley M, Andršová I, Novotný T, Sabino EC, Giatti L, Barreto SM, Waks JW, Kramer DB, Mandic D, Peters NS, O'Regan DP, Malik M, Ware JS, Ribeiro ALP, Ng FS. Sau A, et al. Circ Cardiovasc Qual Outcomes. 2024 Dec;17(12):e010602. doi: 10.1161/CIRCOUTCOMES.123.010602. Epub 2024 Nov 14. Circ Cardiovasc Qual Outcomes. 2024. PMID: 39540287 Free PMC article.

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References

    1. Sangha V, Mortazavi BJ, Haimovich AD, et al. Automated multilabel diagnosis on electrocardiographic images and signals. Nat Commun. 2022;13(1):1583. - PMC - PubMed
    1. Sangha V, Nargesi AA, Dhingra LS, et al. Detection of left ventricular systolic dysfunction from electrocardiographic images. Circulation. 2023;148(9):765–777. - PMC - PubMed
    1. Raghunath S, Ulloa Cerna AE, Jing L, et al. Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network. Nat Med. 2020;26(6):886–891. - PubMed
    1. Tiu E, Talius E, Patel P, Langlotz CP, Ng AY, Rajpurkar P. Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning. Nat Biomed Eng. 2022;6(12):1399–1406. - PMC - PubMed
    1. Ahmad FS, Chan C, Rosenman MB, et al. Validity of cardiovascular data from electronic sources: The Multi-Ethnic Study of Atherosclerosis and HealthLNK. Circulation. 2017;136(13):1207–1216. - PMC - PubMed

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