Table 2.
Performance of the Deep Learning Algorithm With Varying Thresholds for High Coronary Artery Calcium Score (CACS) and Different Input Types (Vessel-Inpainted Images, Fovea-Inpainted Images, Intact Fundus Images [One Eye], Fundus Images [Two Eyes])
| Input Type | ||||
|---|---|---|---|---|
| Threshold | Vessel Inpainted | Fovea Inpainted | Fundus (One Eye) | Fundus (Two Eyes) |
| > 0 | 74.0 (71.5–76.6) | 75.5 (73.9–77.1) | 75.7 (73.8–77.7) | 76.8 (74.7–78.8) |
| > 100 | 80.3 (77.9–82.7) | 81.3 (79.2–83.3) | 82.3 (79.5–85.0) | 83.2 (80.2–86.3) |
| > 200 | 80.5 (78.7–82.2) | 81.9 (79.4–84.5) | 82.5 (80.2–84.8) | 83.2 (80.7–85.8) |
| > 300 | 80.8 (77.8–83.8) | 81.6 (78.5–84.8) | 82.2 (78.9–85.5) | 83.4 (78.4–88.3) |
| > 400 | 81.6 (80.0–83.3) | 82.7 (79.4–86.1) | 83.6 (80.3–87.0) | 84.3 (80.4–88.2) |
Area under the receiver operating curve (AUROC) and 95% confidence interval is given in a format of mean (lower bound – upper bound).