AI algorithms (predominantly CNN/deep learning) as index test vs Dental expert / visual-tactile clinical assessment (reference standard)
Specificity · Patients undergoing dental caries detection on dental images (teeth/surfaces across imaging modalities)
AI algorithms have high pooled specificity (0.90) for detecting dental caries; ungraded, with very high heterogeneity (I2>95%).
1 finding from 1 review
- Examining the diagnostic accuracy of artificial intelligence for detecting dental caries across a range of imaging… 2025 All outcomesCross-sectional diagnostic accuracy (index test vs reference standard) · Dental imaging: intraoral photographs, periapical, bitewing, panoramic radiographs, CBCT, near-infrared transillumination · Overall (all imaging modalities pooled)Specificity 0.90 [0.85, 0.95]20 studies · 29423 participantsGRADE not reported