doi:10.1016/j.mayocp.2022.10.002

Correction| Volume 98, ISSUE 1, P211, January 2023

Correction

Published:November 24, 2022DOI:https://doi.org/10.1016/j.mayocp.2022.10.002

Corrigendum to ‘Artificial Intelligence–Enhanced Electrocardiogram for the Early Detection of Cardiac Amyloidosis’ [Mayo Clinic Proceedings 96 (2021) 2768–2778]

Martha Grogan, MD^a, Francisco Lopez-Jimenez, MD^a, Michal Cohen-Shelly Bsc^a, Angela Dispenzieri MD.^b,c, Zachi I. Attia PhD^a, Omar F. Abou Ezzedine MD, CM, MS^a, Grace Lin, MD^a, Suraj Kapa MD^a, Daniel D. Borgeson, MD^a, Paul A. Friedman, MD^a, Dennis H. Murphree Jr., PhD^d

^aDepartment of Cardiovascular Diseases, ^bDivision of Hematology, Department of Medicine, and ^cDepartment of Laboratory Medicine and Pathology, ^dArtificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota

The authors regret an error in figure 4. Figure 4A and 4B should be replaced by the figure shown below.

The authors would like to apologise for any inconvenience caused.

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Published online: November 24, 2022

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DOI: https://doi.org/10.1016/j.mayocp.2022.10.002

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Artificial Intelligence–Enhanced Electrocardiogram for the Early Detection of Cardiac Amyloidosis
Mayo Clinic ProceedingsVol. 96Issue 11
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  To develop an artificial intelligence (AI)–based tool to detect cardiac amyloidosis (CA) from a standard 12-lead electrocardiogram (ECG).
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