evidence/gaps
Primary study · included by 1 review

Automatic Feature Segmentation in Dental Periapical Radiographs.

Ari T 2022 · Ari Tugba, Sağlam Hande, Öksüzoğlu Hasan, et al. · Diagnostics (Basel, Switzerland) · 2022

PubMed 36553088doi:10.3390/diagnostics12123081Journal Article

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

Examining the diagnostic accuracy of artificial intelligence for detecting dental caries across a range of imaging modalities: An umbrella review with meta-analysis.
Non-Cochrane · DTA · 2025 · cited as Ari T 2022 · Table 5 (studies pooled in meta-analysis); Reference [63]
Outcome this study informsPooled effectEvidenceCertainty
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 participantsUngraded

1 including review in total.