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Editorial

. 2023 Mar;98(3):360-362.

doi: 10.1016/j.mayocp.2023.01.012.

Can Artificial Intelligence Identify Physiologically "Old" Hearts?

Lauri Holmstrom¹, Sumeet S Chugh²

Affiliations

Affiliations

¹ Division of Artificial Intelligence in Medicine, Department of Medicine and Cedars-Sinai Smidt Heart Institute, Los Angeles, CA.
² Division of Artificial Intelligence in Medicine, Department of Medicine and Cedars-Sinai Smidt Heart Institute, Los Angeles, CA. Electronic address: sumeet.chugh@csmc.edu.

PMID: 36868741
DOI: 10.1016/j.mayocp.2023.01.012

Editorial

Can Artificial Intelligence Identify Physiologically "Old" Hearts?

Lauri Holmstrom et al. Mayo Clin Proc. 2023 Mar.

. 2023 Mar;98(3):360-362.

doi: 10.1016/j.mayocp.2023.01.012.

Authors

Lauri Holmstrom¹, Sumeet S Chugh²

Affiliations

¹ Division of Artificial Intelligence in Medicine, Department of Medicine and Cedars-Sinai Smidt Heart Institute, Los Angeles, CA.
² Division of Artificial Intelligence in Medicine, Department of Medicine and Cedars-Sinai Smidt Heart Institute, Los Angeles, CA. Electronic address: sumeet.chugh@csmc.edu.

PMID: 36868741
DOI: 10.1016/j.mayocp.2023.01.012

No abstract available

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Comment on

Artificial Intelligence-Derived Electrocardiogram Assessment of Cardiac Age and Molecular Markers of Senescence in Heart Failure.
Meenakshi-Siddharthan DV, Livia C, Peterson TE, Stalboerger P, Attia ZI, Clavell AL, Friedman PA, Kapa S, Noseworthy PA, Schafer MJ, Stulak JM, Behfar A, Boilson BA. Meenakshi-Siddharthan DV, et al. Mayo Clin Proc. 2023 Mar;98(3):372-385. doi: 10.1016/j.mayocp.2022.10.026. Mayo Clin Proc. 2023. PMID: 36868745

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