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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