Opportunities and challenges for artificial intelligence in clinical cardiovascular genetics.

Krittanawong, Chayakrit; Johnson, Kipp W; Glicksberg, Benjamin S

Krittanawong, Chayakrit; Johnson, Kipp W; Glicksberg, Benjamin S.

Afiliación

Krittanawong C; Michael E. DeBakey VA Medical Center, Houston, TX, USA; Section of Cardiology, Baylor College of Medicine, Houston, TX, USA. Electronic address: Chayakrit.Krittanawong@bcm.edu.
Johnson KW; The Hasso Plattner Institute for Digital Health at the Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Glicksberg BS; The Hasso Plattner Institute for Digital Health at the Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Trends Genet ; 37(9): 780-783, 2021 09.

Article en En | MEDLINE | ID: mdl-33926743

ABSTRACT

ABSTRACT

A combination of emerging genomic and artificial intelligence (AI) techniques may ultimately unlock a deeper understanding of heterogeneity and biological complexities in cardiovascular diseases (CVDs), leading to advances in prognostic guidance and personalized therapies. We discuss the state of AI in cardiovascular genetics, current applications, limitations, and future directions of the field.

Asunto(s)

Inteligencia Artificial; Enfermedades Cardiovasculares/genética; Genética Médica/métodos; Humanos; Aprendizaje Automático; Medicina de Precisión/métodos

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Inteligencia Artificial / Enfermedades Cardiovasculares Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: Trends Genet Asunto de la revista: GENETICA Año: 2021 Tipo del documento: Article

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