Primary study · included by 1 review

Deep learning driven segmentation of maxillary impacted canine on cone beam computed tomography images.

Swaity 2024 · Swaity Abdullah, Elgarba Bahaaeldeen M, Morgan Nermin, et al. · Scientific reports · 2024

Included by

Diagnostic, predictive, and therapeutic approaches for impacted canines: a systematic review and meta-analysis.
Non-Cochrane · DTA;prognostic · 2026 · cited as Swaity 2024 · Reference list items 23-50; Supplementary Table S2; Fig. 2
Outcome this study informsPooled effectEvidenceCertainty
Diagnostic accuracy of AI models (odds ratio)
AI-based diagnostic models vs Semi-automated assessment or non-cropped AI model
OR 9.43 [3.38, 26.33]2 studiesGRADE not reported
Diagnostic accuracy of AI models (odds ratio)
AI-based diagnostic models vs Semi-automated assessment or non-cropped AI model
OR 9.63 [1.56, 59.53]2 studiesGRADE not reported

1 including review in total.