Enhancing the Prognostic Value of Cardiac Imaging With Multimodal Risk Assessment⁎⁎Editorials published in JACC: Cardiovascular Imaging reflect the views of the authors and do not necessarily represent the views of JACC: Cardiovascular Imaging or the American College of Cardiology. | Zendy

W.H. Wilson Tang | Zendy

Open Access

Enhancing the Prognostic Value of Cardiac Imaging With Multimodal Risk Assessment⁎⁎Editorials published in JACC: Cardiovascular Imaging reflect the views of the authors and do not necessarily represent the views of JACC: Cardiovascular Imaging or the American College of Cardiology.

Author(s) -

W.H. Wilson Tang

Publication year - 2009

Publication title -

jacc. cardiovascular imaging

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 5.79

H-Index - 120

eISSN - 1936-878X

pISSN - 1876-7591

DOI - 10.1016/j.jcmg.2009.07.002

Subject(s) - cardiac imaging , multimodality , medicine , value (mathematics) , medical physics , data science , computer science , radiology , machine learning , world wide web

Progress in multimodality cardiac imaging has relied upon technological advances in providing better accuracy and quantification of the images of interest. Newer-generation cardiovascular diagnostic imaging tools are already equipped with unsurpassed capabilities to integrate a wide range of imaging

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