Advances in Diagnosis, Therapy, and Prognosis of Coronary Artery Disease Powered by Deep Learning Algorithms.

Chu, Miao; Wu, Peng; Li, Guanyu; Yang, Wei; Gutiérrez-Chico, Juan Luis; Tu, Shengxian

Chu, Miao; Wu, Peng; Li, Guanyu; Yang, Wei; Gutiérrez-Chico, Juan Luis; Tu, Shengxian.

Afiliação

Chu M; Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Wu P; Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Li G; Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Yang W; Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark.
Gutiérrez-Chico JL; School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China.
Tu S; Bundeswehrzentralkrankenhaus (Federal Army Central Military Hospital), Koblenz, Germany.

JACC Asia ; 3(1): 1-14, 2023 Feb.

Article em En | MEDLINE | ID: mdl-36873752

Palavras-chave

CAD, coronary artery disease; CCTA, coronary computed tomography angiography; CMRA, coronary magnetic resonance angiography; CNN, convolutional neural network; DL, deep learning; FFR, fractional flow reserve; IVUS, intravascular ultrasound; OCT, optical coherence tomography; PCI, percutaneous coronary intervention; artificial intelligence; coronary artery disease; coronary imaging; deep learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: JACC Asia Ano de publicação: 2023 Tipo de documento: Article

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