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 |