Breast lesion malignancy diagnosis on Breast lesion candidates for biopsy (all cohorts)
114Benign True CountRadiologist 3 (General)
Evaluation Results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| Radiologist 3 (General)Predicted Class=Benign2025.08 | 114 | 157 | 0.355 | 58.5 | 81.4 | 64.7 | 0.699 | |
| Radiologist 2 (General)Predicted Class=Benign2025.08 | 109 | 129 | 0.39 | 65.9 | 77.9 | 69.1 | 0.719 | |
| ChatGPT o4-mini-highPredicted Class=Benign2025.08 | 96 | 112 | 0.353 | 70.4 | 68.6 | 69.9 | 0.695 | |
| Nomogram (Fused)Predicted Class=Benign2025.08 | 88 | 32 | 0.573 | 91.5 | 62.9 | 83.8 | 0.853 | |
| Nomogram (Morphology)Predicted Class=Malignant2025.08 | 82 | 332 | 0.324 | 87.8 | 41.4 | 75.2 | 0.708 | |
| ChatGPT o3Predicted Class=Benign2025.08 | 81 | 76 | 0.365 | 79.9 | 57.9 | 73.9 | 0.689 | |
| Nomogram (BIRADS)Predicted Class=Benign2025.08 | 76 | 29 | 0.515 | 92.3 | 54.3 | 82 | 0.834 | |
| Radiologist 1 (Senior)Predicted Class=Benign2025.08 | 75 | 29 | 0.509 | 92.3 | 53.6 | 81.8 | 0.729 | |
| Radiologist 1 (Senior)Predicted Class=Malignant2025.08 | 65 | 349 | 0.509 | 92.3 | 53.6 | 81.8 | 0.729 | |
| Nomogram (BIRADS)Predicted Class=Malignant2025.08 | 64 | 349 | 0.515 | 92.3 | 54.3 | 82 | 0.834 | |
| ChatGPT o3Predicted Class=Malignant2025.08 | 59 | 302 | 0.365 | 79.9 | 57.9 | 73.9 | 0.689 | |
| Nomogram (Morphology)Predicted Class=Benign2025.08 | 58 | 46 | 0.324 | 87.8 | 41.4 | 75.2 | 0.708 | |
| Nomogram (Fused)Predicted Class=Malignant2025.08 | 52 | 346 | 0.573 | 91.5 | 62.9 | 83.8 | 0.853 | |
| ChatGPT o4-mini-highPredicted Class=Malignant2025.08 | 44 | 266 | 0.353 | 70.4 | 68.6 | 69.9 | 0.695 | |
| Radiologist 2 (General)Predicted Class=Malignant2025.08 | 31 | 249 | 0.39 | 65.9 | 77.9 | 69.1 | 0.719 | |
| Radiologist 3 (General)Predicted Class=Malignant2025.08 | 26 | 221 | 0.355 | 58.5 | 81.4 | 64.7 | 0.699 |