Table 9.
Selected studies using image-based ML analysis for diagnosis of aortic and coronary atherosclerosis.
Publication | Modality | Biomarker | ML technique | Diagnostic | Sample size | Performance |
---|---|---|---|---|---|---|
(66) | CT | Radiomics | N/A | ATH | 60 | AUC = 0.91 |
(67) | CT | Deep Learning | CNN | ATH | 163 | ACC = 0.80 |
(65) | CT | Radiomics | DT | ATH | 164 | ACC = 0.86 |
(17) | CT | Deep Learning | CNN | ATH | 250 | ACC = 0.72 |
(64) | CT | Conventional | CL | ATH | 615 | ACC = 0.74 |
(30) | CT | Conventional | CL | ATH | 249 | ACC = 0.83 |