Artificial Intelligence: Practical Primer for Clinical Research in Cardiovascular Disease.

Kagiyama, Nobuyuki; Shrestha, Sirish; Farjo, Peter D; Sengupta, Partho P

Kagiyama, Nobuyuki; Shrestha, Sirish; Farjo, Peter D; Sengupta, Partho P.

Affiliation

Kagiyama N; West Virginia University Heart and Vascular Institute Morgantown WV.
Shrestha S; West Virginia University Heart and Vascular Institute Morgantown WV.
Farjo PD; West Virginia University Heart and Vascular Institute Morgantown WV.
Sengupta PP; West Virginia University Heart and Vascular Institute Morgantown WV.

J Am Heart Assoc ; 8(17): e012788, 2019 09 03.

Article in En | MEDLINE | ID: mdl-31450991

Subject(s)

Artificial Intelligence/trends; Biomedical Research/trends; Cardiovascular Diseases; Cardiovascular Diseases/diagnosis; Cardiovascular Diseases/physiopathology; Cardiovascular Diseases/therapy; Diagnosis, Computer-Assisted/trends; Diffusion of Innovation; Humans; Precision Medicine/trends; Telemedicine/trends; Therapy, Computer-Assisted/trends

Key words

artificial intelligence; deep learning; machine learning; risk model; risk prediction; statistics; telemedicine

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Cardiovascular Diseases / Biomedical Research Type of study: Diagnostic_studies / Prognostic_studies / Sysrev_observational_studies Limits: Humans Language: En Journal: J Am Heart Assoc Year: 2019 Document type: Article Country of publication: United kingdom

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