Primary study · included by 2 reviews

Caries Detection on Intraoral Images Using Artificial Intelligence.

Kuhnisch 2022 · Kühnisch J, Meyer O, Hesenius M, et al. · Journal of dental research · 2022

PubMed 34416824 doi:10.1177/00220345211032524Journal 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

Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries.

Non-Cochrane · DTA · 2022 · cited as Kuhnisch 2022 · Table 1; Table 2; Reference [25]

The review does not say which of its outcomes this study informs.

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 Kühnisch J 2022 · Table 5 (studies pooled in meta-analysis); Reference [50]

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.