Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging

Author:

Al’Aref Subhi J1,Anchouche Khalil1,Singh Gurpreet1,Slomka Piotr J2,Kolli Kranthi K1,Kumar Amit1,Pandey Mohit1,Maliakal Gabriel1,van Rosendael Alexander R1,Beecy Ashley N1,Berman Daniel S2,Leipsic Jonathan3,Nieman Koen4,Andreini Daniele5,Pontone Gianluca5,Schoepf U Joseph6,Shaw Leslee J1,Chang Hyuk-Jae7,Narula Jagat8,Bax Jeroen J9,Guan Yuanfang10,Min James K1

Affiliation:

1. Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA

2. Departments of Imaging and Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA

3. Departments of Medicine and Radiology, University of British Columbia, Vancouver, BC, Canada

4. Departments of Cardiology and Radiology, Stanford University School of Medicine and Cardiovascular Institute, Stanford, CA, USA

5. Centro Cardiologico Monzino, IRCCS Milan, Italy

6. Division of Cardiovascular Imaging, Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA

7. Division of Cardiology, Severance Cardiovascular Hospital and Severance Biomedical Science Institute, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea

8. Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA

9. Department of Cardiology, Heart Lung Center, Leiden University Medical Center, Leiden, The Netherlands

10. Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine

Reference93 articles.

1. Single reading with computer-aided detection for screening mammography;Gilbert;N Engl J Med,2008

2. Systematic analysis of breast cancer morphology uncovers stromal features associated with survival;Beck;Sci Transl Med,2011

3. Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis;Motwani;Eur Heart J,2017

4. Can machine-learning improve cardiovascular risk prediction using routine clinical data?;Weng;PLoS One,2017

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