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. 2022 Jul 8;12:11659. doi: 10.1038/s41598-022-15856-6

Table 4.

Performances of cephalometric skeletal classification for DCNN-based AI model and automated-tracing AI software.

DCNN-based AI model Automated-tracing AI software
Sensitivity Specificity Precision Accuracy Sensitivity Specificity Precision Accuracy
Class I 0.97 0.98 0.95 0.97 0.90 0.83 0.72 0.85
Class II 0.97 0.95 0.91 0.96 0.98 0.95 0.91 0.96
Class III 0.88 0.99 0.97 0.95 0.68 1.00 1.00 0.89
Micro-average 0.94 0.97 0.94 0.96 0.85 0.93 0.85 0.90
Macro-average 0.94 0.97 0.94 0.96 0.85 0.93 0.90 0.88

DCNN, deep convolutional neural network.