AI algorithms (predominantly CNN/deep learning) as index test vs Dental expert / visual-tactile clinical assessment (reference standard)
Sensitivity · Patients undergoing dental caries detection on dental images (teeth/surfaces across imaging modalities)
AI algorithms have high pooled sensitivity (0.85) for detecting dental caries; ungraded, with very high heterogeneity (I2>95%) and evidence of publication bias.
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)Sensitivity 0.85 [0.83, 0.93]20 studies · 29423 participantsGRADE not reported