Figure 4 | Scientific Reports

Figure 4

From: Deep learning system for automated detection of posterior ligamentous complex injury in patients with thoracolumbar fracture on MRI

Figure 4

ROC plots for deep learning algorithm and radiologists in the external validation dataset. AUROC of the DL-algorithm was not significantly different from that of experienced musculoskeletal radiologist (R1, p = 0.722), but tended to be higher than that of radiology trainee (R2, p = 0.051) on Delong's test, close to statistical significance. There was significantly different in the AUROC between R1 and R2 (p = 0.011). In the second session with deep learning algorithm assistance, significant improvement in diagnostic performance was observed in R2 (increment of AUROC was 0.090, p = 0.007). (ROC, the receiver operating characteristics; AUROC, the area under the curve of the receiver operating characteristic; DL, deep learning).

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