evidencegaps
Primary study · included by 1 review

Validation of artificial intelligence application for dental caries diagnosis on intraoral bitewing and periapical radiographs.

Szabo 2024 · Szabó Viktor, Szabó Bence Tamás, Orhan Kaan, et al. · Journal of dentistry · 2024

Included by

Artificial intelligence for binary dental caries diagnosis using intraoral images and dental radiographs: a systematic review and meta-analysis.
Non-Cochrane · DTA · 2026 · cited as Szabo 2024 · Supplementary Table S1; Fig. 2
Outcome this study informsPooled effectEvidenceCertainty
Pooled sensitivity
AI (deep learning) models for binary caries classification vs Reference standard (expert examiners or clinical/diagnostic reference)
Sensitivity 0.86 [0.82, 0.89]13 studiesGRADE not reported

1 including review in total.