Table 2 Performances of the artificial intelligence system and ultrasound radiologists in diagnosing thyroid cancer
| Â | Size, cm | AI system | Radiologist | p value |
|---|---|---|---|---|
Sensitivity, % | < 1.0 | 88.46 | 93.08 | 0.284 |
1.0–4.0 | 94.34 | 95.28 | 1.000 | |
≥ 4.0 | 66.67 | 83.33 | 1.000 | |
All | 90.5 | 93.80 | 0.237 | |
Specificity, % | < 1.0 | 57.14 | 14.29 | 0.009 |
1.0–4.0 | 95.74 | 89.36 | 0.435 | |
≥ 4.0 | 100 | 97.56 | 1.000 | |
All | 89.91 | 77.98 | 0.026 | |
PPV, % | < 1.0 | 92.74 | 87.05 | 0.156 |
1.0–4.0 | 98.04 | 95.28 | 0.446 | |
≥ 4.0 | 100 | 83.33 | 1.000 | |
All | 95.22 | 90.44 | 0.053 | |
NPV, % | < 1.0 | 44.44 | 25 | 0.305 |
1.0–4.0 | 88.24 | 89.36 | 1.000 | |
≥ 4.0 | 95.35 | 97.56 | 1.000 | |
All | 80.99 | 85 | 0.477 | |
Accuracy, % | < 1.0 | 84.11 | 82.12 | 0.759 |
1.0–4.0 | 94.77 | 93.46 | 0.809 | |
≥ 4.0 | 95.74 | 95.74 | 1.000 | |
All | 90.31 | 88.89 | 0.621 |