| | Clinician | Radiologist | AI | CT |
---|
| ROC-AUC | 0.635 (0.571–0.699) | 0.717 (0.658–0.776) | 0.735 (0.667–0.802) | 0.919 (0.884–0.954) |
---|
Clinicians | 0.635 (0.571–0.699) | | | | |
Radiologist | 0.717 (0.658–0.776) | p = 0.022 | | | |
AI | 0.735 (0.667–0.802) | p = 0.021 | p = 0.683 | | |
CT | 0.919 (0.884–0.954) | p < 0.001 | p < 0.001 | p < 0.001 | |
- ROC-AUC results are reported in percent along with their 95% confidence interval. Statistical comparison of two sets of predictions by area under the receiver operating characteristic curve using method from Sun and Xu. [reference #[31]. AI, Artificial intelligence; CT, Computed tomography; LDCT, Low-dose computed tomography; ROC-AUC, Area under the receiver operating characteristic curve