Primary study · included by 2 reviews
Evaluation of tooth development stages with deep learning-based artificial intelligence algorithm.
Kurt 2024 · Kurt Ayça, Günaçar Dilara Nil, Şılbır Fatma Yanık, et al. · BMC oral health · 2024
Included by
The review does not say which of its outcomes this study informs.
| Outcome this study informs | Pooled effect | Evidence | Certainty |
|---|---|---|---|
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 |
2 including reviews in total.