doi:10.1016/j.mayocp.2022.10.002

Corrigendum

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.

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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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