Primary study · included by 2 reviews
Artificial intelligence in digital cariology: a new tool for the diagnosis of deep caries and pulpitis using convolutional neural networks.
Zheng L 2021 · Zheng Liwen, Wang Haolin, Mei Li, et al. · Annals of translational medicine · 2021
Trial PICO
Not extracted yet. Trial-level population, intervention, comparator, outcomes and design will appear here after the trial extraction run. Until then, the reviews below describe the study.
Results
Not extracted yet. Per-trial results (events, means, effect and weight as each review's forest plot reports them) will appear here after the trial extraction run.
Included by
The review does not say which of its outcomes this study informs.
| Outcome this study informs | Pooled effect | Evidence | Certainty |
|---|---|---|---|
Sensitivity AI algorithms (predominantly CNN/deep learning) as index test vs Dental expert / visual-tactile clinical assessment (reference standard) · Cross-sectional diagnostic accuracy (index test vs reference standard) | Sensitivity 0.85 [0.83, 0.93] | 20 studies · 29423 participants | Ungraded |
2 including reviews in total.