Primary study · included by 1 review
Artificial intelligence for caries and periapical periodontitis detection.
Li 2022 · Li Shihao, Liu Jialing, Zhou Zirui, et al. · Journal of dentistry · 2022
Included by
| Outcome this study informs | Pooled effect | Evidence | Certainty |
|---|---|---|---|
Pooled specificity AI algorithms for dental detection tasks vs Reference standard (expert clinicians) | Specificity (proportion) 0.94 [0.86, 0.97] | 10 studies · 21516 participants | Moderate |
Pooled precision AI algorithms (deep learning, mainly CNN/YOLO) for dental detection tasks vs Reference standard (expert clinicians or consensus) | Precision 0.88 [0.71, 0.96] | 7 studies · 23248 participants | Moderate |
Pooled F1 score AI algorithms (deep learning, mainly CNN/YOLO) for dental detection tasks vs Reference standard (expert clinicians or consensus) | F1 score 0.90 [0.77, 0.96] | 8 studies · 24033 participants | Moderate |
Pooled sensitivity AI algorithms for dental detection tasks vs Reference standard (expert clinicians) | Sensitivity (proportion) 0.85 [0.76, 0.91] | 8 studies · 11452 participants | Moderate |
1 including review in total.