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. 2020 Jan 24;7:1. doi: 10.3389/fcvm.2020.00001

Table 6.

Selected studies using image-based ML analysis for the diagnosis of Myocardial Infarction.

Publication Modality Biomarker ML technique Diagnostic Sample size Performance
(44) MRI Radiomics LR MI 180 ACC = 0.92
(46) MRI Conventional ANN MI 299 AUC = 0.94
(45) MRI Radiomics SVM MI 50 AUC = 0.84
(9) MRI Conventional SVM/RF MI/HCM 45 ACC = 0.94
(94) MRI Conventional DT/CL/SVM MI 200 ACC = 0.95
(95) MRI Conventional PLS MI 200 ACC = 0.98
(22) Echo Qualitative SVM MI 242 ACC = 0.97
(39) Echo Conventional ANN MI/AP 91 ACC = 0.95
(40) Echo Conventional BN/DT/CL/SVM MI 42 ACC = 0.91
(42) Echo Radiomics DT/ANN/SVM MI 160 ACC = 0.94
(41) Echo Radiomics CL MI 17 ACC = 0.91
(43) Echo Radiomics SVM MI 800 ACC = 0.99
(29) Echo Conventional CL MI 120 ACC = 0.87
(47) CT Radiomics RF/CL/ANN MI 87 ACC = 0.78
(48) CT Radiomics DT MI 30 ACC = 0.97
(27) CT Conventional SVM/RF MI 170 ACC = 0.85
(96) SPECT Conventional BN MI/CAD 728 ACC = 0.78