A new non-invasive diagnostic tool in coronary artery disease: artificial intelligence as an essential element of predictive, preventive, and personalized medicine.

Zellweger, Michael J; Tsirkin, Andrew; Vasilchenko, Vasily; Failer, Michael; Dressel, Alexander; Kleber, Marcus E; Ruff, Peter; März, Winfried

Zellweger, Michael J; Tsirkin, Andrew; Vasilchenko, Vasily; Failer, Michael; Dressel, Alexander; Kleber, Marcus E; Ruff, Peter; März, Winfried.

Afiliação

Zellweger MJ; 1Cardiology Department, University Hospital, University of Basel, Petersgraben 4, 4031 Basel, Switzerland.
Tsirkin A; Software and Modeling, Exploris AG, Modeling, Exploris AG, Zürich, Switzerland.
Vasilchenko V; Software and Modeling, Exploris AG, Modeling, Exploris AG, Zürich, Switzerland.
Failer M; Exploris AG, Zürich, Switzerland.
Dressel A; DACH Gesellschaft Prävention von Herz-Kreislauf-Erkrankungen e.V., Hamburg, Germany.
Kleber ME; 5Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Ruff P; Exploris AG, Zürich, Switzerland.
März W; 5Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.

EPMA J ; 9(3): 235-247, 2018 Sep.

Article em En | MEDLINE | ID: mdl-30174760

Palavras-chave

Artificial intelligence-based prediction and decision-making; Coronary artery disease; Diagnosis; Memetic pattern-based algorithm; Non-invasive evaluation; PPPM; Risk scores

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: EPMA J Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Suíça País de publicação: Suíça

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