Table 1.
AI and radiologist miss rates in example key conditions
| Diagnosis and imaging modality | Study type and ground truth | AI miss rate | Radiologist miss rate | AI or human advantages |
|---|---|---|---|---|
| Pneumonia, chest radiograph121 | Single study, expert panel with multimodal clinical information | ~25–30% | ~25–30% | Radiologists more specific especially in complex cases; AI more false positives. |
| Breast cancer, mammography122 | Meta-analysis of 8 studies, histopathological diagnoses | 15% | 23% | Radiologists superior in cases with dense breasts or architectural distortions123,124 |
| ICH, head CT125 | Single study, subspecialty neuroradiologist | 8% | 12% | Performance likely similar |
| Hip fracture, radiograph126 | Meta-analysis of 39 studies with various ground truth methods e.g., surgical confirmation, radiologist panel consensus | 11% | ~13%a | Radiologists likely superior with distorted anatomy, overlapping structures |
Drawn from meta-analyses or single studies with an appropriate ground truth standard. Comparisons of this sort are limited in number.
AI artificial intelligence CT computed tomography, ICH intracranial hemorrhage.
aDerived from OR(95%CI) 1.27(0.76–2.08) relative to the AI miss rate.