Table 2.
Diagnostic performances of the AI-based evaluation method using deep learning and MOSE for obtaining a histological diagnosis.
| Histology | Histology | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Diagnosable | Undiagnosable | Total | Diagnosable | Undiagnosable | Total | ||||
| AI | Diagnosable | 139 | 23 | 162 | MOSE | Diagnosable | 72 | 9 | 81 |
| Undiagnosable | 61 | 75 | 136 | Undiagnosable | 9 | 8 | 17 | ||
| Total | 200 | 98 | 298 | Total | 81 | 17 | 98 | ||
| Sensitivity | 85.8% | Sensitivity | 88.9% | ||||||
| Specificity | 55.2% | Specificity | 47.1% | ||||||
| Accuracy | 71.8% | Accuracy | 81.6% | ||||||
| PPV | 69.5% | PPV | 88.9% | ||||||
| NPV | 76.5% | NPV | 47.1% | ||||||
AI: artificial intelligence, MOSE: macroscopic on-site evaluation, PPV: positive predictive value, NPV: negative predictive value.