Chess and Coronary Artery Ischemia: Clinical Implications of Machine-Learning Applications

James K Min^{1

2}

Affiliations

¹ Departments of Radiology and Medicine, Weill Cornell Medical College, New York, NY (J.K.M.). jkm2001@med.cornell.edu.
² Dalio Institute of Cardiovascular Imaging at New York Presbyterian Hospital (J.K.M.).

Editorial

James K Min. Circ Cardiovasc Imaging. 2018 Jun.

. 2018 Jun;11(6):e007943.

doi: 10.1161/CIRCIMAGING.118.007943.

James K Min^{1

2}

¹ Departments of Radiology and Medicine, Weill Cornell Medical College, New York, NY (J.K.M.). jkm2001@med.cornell.edu.
² Dalio Institute of Cardiovascular Imaging at New York Presbyterian Hospital (J.K.M.).

No abstract available

Keywords: Editorials; artificial intelligence; decision making; machine learning; software.

Comment on

Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium.
Coenen A, Kim YH, Kruk M, Tesche C, De Geer J, Kurata A, Lubbers ML, Daemen J, Itu L, Rapaka S, Sharma P, Schwemmer C, Persson A, Schoepf UJ, Kepka C, Hyun Yang D, Nieman K. Coenen A, et al. Circ Cardiovasc Imaging. 2018 Jun;11(6):e007217. doi: 10.1161/CIRCIMAGING.117.007217. Circ Cardiovasc Imaging. 2018. PMID: 29914866