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Table 1 Artificial intelligence applications in ischemic heart disease

From: Emerging methods for the characterization of ischemic heart disease: ultrafast Doppler angiography, micro-CT, photon-counting CT, novel MRI and PET techniques, and artificial intelligence

Authors (year) [reference] AI approach Imaging modality Description
Zreik et al (2018) [85] Deep learning CT Significant coronary stenosis detection based on left ventricular myocardium analysis
van Hamersvelt et al (2019) [86] Deep learning CT Significant coronary stenosis detection based on left ventricular myocardium analysis in patients with intermediate stenosis
Xu et al (2017) [87] Deep learning MRI Myocardial infarction size automatic detection
Zhang et al (2019) [88] Deep learning MRI Chronic myocardial infarction diagnosis based on non-contrast cardiac cine MRI
Mannil et al (2018) [93] Deep learning and radiomics CT Myocardial infarction detection based on non-contrast cardiac CT
Baessler et al (2018) [94] Radiomics MRI Subacute and chronic myocardial infarction detection on non-contrast cardiac CT
Larroza et al (2018) [95] Radiomics MRI Distinction between nonviable, viable, and remote segments on enhanced cine MRI
Larroza et al (2017) [96] Radiomics MRI Acute and chronic myocardial infarction distinction based on cine and LGE cardiac MRI
Kotu et al (2015) [97] Radiomics MRI Fatal arrhythmias risk assessment based on myocardial scar analysis from LGE cardiac MRI
  1. AI Artificial intelligence, CT Computed tomography, LGE Late gadolinium enhancement, MRI Magnetic resonance imaging
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