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Editorial
. 2024 Sep 25;3(9):101229.
doi: 10.1016/j.jacadv.2024.101229. eCollection 2024 Sep.

AI in Cardiology: Improving Outcomes for All

Faraz S Ahmad, Sadeer G Al-Kindi, Steve Steinhubl
Editorial

AI in Cardiology: Improving Outcomes for All

Faraz S Ahmad et al. JACC Adv. .
No abstract available

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Conflict of interest statement

Dr Ahmad reported that he has received research support from 10.13039/100004319Pfizer Inc and Atman Health. The other authors have reported that they have no relationships relevant to the contents of this paper to disclose.

References

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    1. Chung D.J., Lee S.M., Kaker V., et al. Echocardiogram vector embeddings via R3D transformer for the advancement of automated echocardiography. JACC Adv. 2024;3
    1. Yurk D., Barrios J.P., Langlais E.L., et al. Automated assessment of right atrial pressure from ultrasound videos using machine learning. JACC Adv. 2024;3
    1. Hu T., Freeze J., Singh P., et al. Artificial intelligence prediction of cardiovascular events using opportunistic epicardial adipose tissue assessments from computed tomography calcium score. JACC Adv. 2024;3
    1. Modanwal G., Dhamdhere R., Khera A., et al. QuLF-CT: a radiomics-based tool for quantification of liver fat fraction on cardiac CT. JACC Adv. 2024;3

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