Question · asked by 1 review
Machine-learning algorithms for dental caries detection vs Different machine-learning algorithms for caries prediction: Dental caries detection accuracy
- Population
- Dental images of human beings
- Intervention
- Machine-learning algorithms for dental caries detection
- Comparison
- Different machine-learning algorithms for caries prediction
- Outcome
- Dental caries detection accuracy
The review reported 70% accuracy for dental caries detection in Mayank et al. (Ungraded).
What each review found
Current versions onlyNo studies found 0 · 0%GRADE not reported 3 · 100%Very low 0 · 0%Low 0 · 0%Moderate 0 · 0%High 0 · 0%
| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Machine-learning algorithms for dental caries detection vs Different machine-learning algorithms for caries prediction Dental caries detection accuracy · Dental images of human beings · USA, Mayank et al., 2017; F-CNN The review reported 70% accuracy for dental caries detection in Mayank et al. (Ungraded). Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. (2022) All outcomes | Accuracy 70 | 1 study · 3000 participants | GRADE not reported |
Machine-learning algorithms for dental caries detection vs Different machine-learning algorithms for caries prediction Dental caries detection accuracy · Dental images of human beings · Mexico, Zanella-Calzada et al., 2018; ANN The review reported 69% accuracy for dental caries detection in Zanella-Calzada et al. (Ungraded). Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. (2022) All outcomes | Accuracy 69 | 1 study · 189 participants | GRADE not reported |
Machine-learning algorithms for dental caries detection vs Different machine-learning algorithms for caries prediction Dental caries detection accuracy · Dental images of human beings · India, Geetha et al., 2020; backpropagation The review reported 97.1% accuracy for dental caries diagnosis in Geetha et al. (Ungraded). Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. (2022) All outcomes | Accuracy 97.1 | 1 study · 105 participants | GRADE not reported |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. 2022 All outcomes | Not specified | 17 | Not applicable |
How reviews are matched to this question
Reviews word the same question differently. Four decision models (TypeSafe's Jev, Liquid AI's d1-ultra, SubQ Snap and Baseten's Elephant) judged each wording of the population, intervention, comparator and outcome against the others; two wordings count as the same when at least three of them agree and none clearly disagrees, and findings count as this question only when all four elements match. Timing, setting and subgroup never split a question: they are shown on each finding.