Corrigendum to "The effect of cardiac rhythm on artificial intelligence-enabled ECG evaluation of left ventricular ejection fraction prediction in cardiac intensive care unit patients" Int J Cardiol. 2021 Sep 15;339:54-55.

Kashou, A H; Noseworthy, P A; Lopez-Jimenez, F; Attia, Z I; Kapa, S; Friedman, P A; Jentzer, J C

Kashou, A H; Noseworthy, P A; Lopez-Jimenez, F; Attia, Z I; Kapa, S; Friedman, P A; Jentzer, J C.

Afiliação

Kashou AH; Department of Internal Medicine, Mayo Clinic, Rochester, MN, United States of America.
Noseworthy PA; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, United States of America; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, United States of America.
Lopez-Jimenez F; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, United States of America.
Attia ZI; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, United States of America.
Kapa S; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, United States of America.
Friedman PA; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, United States of America.
Jentzer JC; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, United States of America; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, United States of America; Division of Pulmonary and Critical Care Medicine, Department of Internal M

Int J Cardiol ; 348: 125, 2022 Feb 01.

Article em En | MEDLINE | ID: mdl-34890765

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Int J Cardiol Ano de publicação: 2022 Tipo de documento: Article

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