Artificial Intelligence Applied to Cardiomyopathies: Is It Time for Clinical Application?

Kim, Kyung-Hee; Kwon, Joon-Myung; Pereira, Tara; Attia, Zachi I; Pereira, Naveen L

Kim, Kyung-Hee; Kwon, Joon-Myung; Pereira, Tara; Attia, Zachi I; Pereira, Naveen L.

Afiliación

Kim KH; Internal Medicine, Department of Cardiology, Incheon Sejong Hospital, Incheon, South Korea.
Kwon JM; Department of Cardiovascular Medicine, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA.
Pereira T; Department of Critical Care and Emergency Medicine, Incheon Sejong Hospital, Incheon, South Korea.
Attia ZI; Medical Research Team, Medical AI, Co, Seoul, South Korea.
Pereira NL; Artificial Intelligence Development, Center for Digital Health, Mayo Clinic, Rochester, USA.

Curr Cardiol Rep ; 24(11): 1547-1555, 2022 11.

Article en En | MEDLINE | ID: mdl-36048306

Asunto(s)

Inteligencia Artificial; Cardiomiopatías; Humanos; Genómica; Cardiomiopatías/diagnóstico

Palabras clave

Artificial intelligence; Cardiomyopathy; Dilated cardiomyopathy; Genetics; Heart failure; Hypertrophic cardiomyopathy

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Inteligencia Artificial / Cardiomiopatías Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Curr Cardiol Rep Asunto de la revista: CARDIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Corea del Sur

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