Table 2.
AUC (95% CI) | Sensitivity (95% CI) | Specificity (95% CI) | Accuracy (95% CI) | P value* | |
---|---|---|---|---|---|
Machine learning model | 0.88 (0.72–1) | 91.6 (62.0–100) | 85.7 (42.0–100) | 89.0 (67.0–98.6) | |
MSK radiologist 1 | 0.94 (0.87–1) | 97.4 (86.0–100) | 90.9 (71.0–99.0) | 95.0 (86.1–98.9) | 0.4 |
MSK radiologist 2 | 0.91 (0.83–0.99) | 100 (91.0–100) | 81.8 (60.0–95.0) | 93.3 (83.8–98.1) | 0.7 |
AUC The area under the receiver operator characteristic curve, CI Confidence interval
*P value based on the Delong’s test, which were used to compare the AUCs between the machine learning model and radiologists