Electrocardiogram-Artificial Intelligence and Immune-Mediated Necrotizing Myopathy: Predicting Left Ventricular Dysfunction and Clinical Outcomes.

Klein, Christopher J; Ozcan, Ilke; Attia, Zachi I; Cohen-Shelly, Michal; Lerman, Amir; Medina-Inojosa, Jose R; Lopez-Jimenez, Francisco; Friedman, Paul A; Milone, Margherita; Shelly, Shahar

Klein, Christopher J; Ozcan, Ilke; Attia, Zachi I; Cohen-Shelly, Michal; Lerman, Amir; Medina-Inojosa, Jose R; Lopez-Jimenez, Francisco; Friedman, Paul A; Milone, Margherita; Shelly, Shahar.

Afiliação

Klein CJ; Department of Neurology, Mayo Clinic, Rochester, MN.
Ozcan I; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
Attia ZI; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Cohen-Shelly M; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Lerman A; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Medina-Inojosa JR; Sami Sagol AI Hub, ARC, Sheba Medical Center, Israel.
Lopez-Jimenez F; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Friedman PA; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Milone M; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Shelly S; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.

Mayo Clin Proc Innov Qual Outcomes ; 6(5): 450-457, 2022 Oct.

Article em En | MEDLINE | ID: mdl-36147867

Palavras-chave

AI, artificial intelligence; ASCVD, atherosclerotic cardiovascular disease; AUC, area under the curve; CK, creatine kinase; CNN, convolutional neural network; ECG, electrocardiogram; IIM, idiopathic immune-mediated myopathy; IMNM, immune-mediated necrotizing myopathy; LVD, left ventricular dysfunction; MRI, magnetic resonance imaging; OR, odds ratio

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: Mayo Clin Proc Innov Qual Outcomes Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Mongólia

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