evidence/gaps
Primary study · included by 1 review

Detection of Proximal Caries Lesions on Bitewing Radiographs Using Deep Learning Method.

Chen X 2022 · Chen Xiaotong, Guo Jiachang, Ye Jiaxue, et al. · Caries research · 2022

PubMed 36215971doi:10.1159/000527418Journal 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 Chen X 2022 · Table 5 (studies pooled in meta-analysis); Reference [59]
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.