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. 2022 Nov 15;52(1):20220081. doi: 10.1259/dmfr.20220081

Table 5.

The success classification rates of 11 cephalometric measurements

Measurements Ground truth AI prediction Accuracy Total (%)
n True False
SNA (°) 88.03%
 Lower (<78.8) 66 42 24 63.64%
 Normal (78.8–86.8) 177 173 4 97.74%
 Higher (>86.8) 16 13 3 81.25%
SNB (°) 88.80%
 Lower (<76.2) 94 76 18 80.85%
 Normal (76.2–84) 149 141 8 94.63%
 Higher (>84) 16 13 3 81.25%
ANB (°) 84.56%
 Lower (<0.7) 53 41 12 77.36%
 Normal (0.7–4.7) 129 110 19 85.27%
 Higher (>4.7) 77 68 9 88.31%
MP-SN (°) 90.35%
 Lower (<31.0) 69 69 0 100.00%
 Normal (31.0–39.0) 136 122 14 89.71%
 Higher (>39.0) 54 43 11 79.63%
FMA (°) 88.03%
 Lower (<21.2) 56 52 4 92.86%
 Normal (21.2–33.4) 177 156 21 88.14%
 Higher (>33.4) 26 20 6 76.92%
U1-NA (mm) 84.17%
 Lower (<2.7) 45 34 11 75.56%
 Normal (2.7–7.5) 147 130 17 88.44%
 Higher (>7.5) 67 54 13 80.60%
L1-NB (mm) 89.96%
 Lower (<4.6) 88 80 8 90.91%
 Normal (4.6–8.8) 139 128 11 92.09%
 Higher (>8.8) 32 25 7 78.13%
U1-SN (°) 87.64%
 Lower (<99.4) 61 53 8 86.89%
 Normal (99.4–112) 132 123 9 93.18%
 Higher (>112) 66 51 15 77.27%
L1-MP (°) 93.44%
 Lower (<89.4) 67 66 1 98.51%
 Normal (89.4–103.6) 155 142 13 91.61%
 Higher (>103.6) 37 34 3 91.89%
UL-EP (mm) 92.28%
 Lower (<−2.0) 85 72 13 84.71%
 Normal (-2.0–2.0) 166 161 5 96.99%
 Higher (>2.0) 8 6 2 75.00%
LL-EP (mm) 95.37%
 Lower (<0.0) 86 82 4 95.35%
 Normal (0.0–6.0) 167 160 7 95.81%
 Higher (>6.0) 6 5 1 83.33%
Average 89.33%