Copyright
©The Author(s) 2023.
World J Clin Cases. Mar 6, 2023; 11(7): 1477-1487
Published online Mar 6, 2023. doi: 10.12998/wjcc.v11.i7.1477
Published online Mar 6, 2023. doi: 10.12998/wjcc.v11.i7.1477
Table 3 Diagnostic effect of junior doctors, intermediate doctors and artificial intelligence models
Group | Sensitivity | Specificity | Positive predictive value | Negative predictive value | Accuracy | AUC | Kappa |
Junior doctor | 0.65 | 0.92 | 0.86 | 0.76 | 0.80 | 0.79 | 0.58 |
Intermediate doctor | 0.63 | 0.96 | 0.93 | 0.75 | 0.81 | 0.79 | 0.60 |
Artificial intelligence model | 0.79 | 0.96 | 0.94 | 0.84 | 0.88 | 0.88 | 0.76 |
- Citation: Xu SM, Dong D, Li W, Bai T, Zhu MZ, Gu GS. Deep learning-assisted diagnosis of femoral trochlear dysplasia based on magnetic resonance imaging measurements. World J Clin Cases 2023; 11(7): 1477-1487
- URL: https://www.wjgnet.com/2307-8960/full/v11/i7/1477.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v11.i7.1477