Findings

What do systematic reviews say?

10 questions · 16 findings · 1 reviews · Dental caries

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No studies found 0 · 0%GRADE not reported 16 · 100%Very low 0 · 0%Low 0 · 0%Moderate 0 · 0%High 0 · 0%

Machine-learning algorithms for dental caries detection vs Different machine-learning algorithms for caries prediction

Dental caries detection accuracy · Dental images of human beings

The review reported 70% accuracy for dental caries detection in Mayank et al. (Ungraded).

3 findings from 1 review

Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. 2022 All outcomes
USA · Mayank et al., 2017; F-CNN
Accuracy 70
1 study · 3000 participants
GRADE not reported
Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. 2022 All outcomes
Mexico · Zanella-Calzada et al., 2018; ANN
Accuracy 69
1 study · 189 participants
GRADE not reported
Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. 2022 All outcomes
India · Geetha et al., 2020; backpropagation
Accuracy 97.1
1 study · 105 participants
GRADE not reported

Machine-learning algorithms for dental caries detection vs Different machine-learning algorithms for caries prediction

Caries detection accuracy on intraoral images · Dental images of human beings

The review reported 93.3% accuracy for caries detection on intraoral images in Kühnisch et al. (Ungraded).

1 finding from 1 review

Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. 2022 All outcomes
Germany · Kühnisch et al., 2022; convolutional neural networks
Accuracy 93.3
1 study · 2417 participants
GRADE not reported

Machine-learning algorithms for dental caries detection vs Different machine-learning algorithms for caries prediction

Caries detection accuracy in unrestored molars and premolars · Dental images of human beings

The review reported 92.37% accuracy for automated caries detection in Duong et al. (Ungraded).

1 finding from 1 review

Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. 2022 All outcomes
Taiwan · Duong et al., 2021; support vector machine
Accuracy 92.37
1 study · 620 participants
GRADE not reported

Machine-learning algorithms for dental caries detection vs Different machine-learning algorithms for caries prediction

detection of proximal caries · Dental images of human beings

The review reported 85.6% accuracy for proximal caries in Casalegno et al. (Ungraded).

2 findings from 1 review

Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. 2022 All outcomes
Switzerland · Casalegno et al., 2018; CNN
Accuracy 85.6
1 study · 217 participants
GRADE not reported
Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. 2022 All outcomes
Brazil · Devito et al., 2008; hidden-layer perceptron with backpropagation
Accuracy 88.4
1 study · 160 participants
GRADE not reported

Machine-learning algorithms for dental caries detection vs Different machine-learning algorithms for caries prediction

Occlusal caries detection accuracy · Dental images of human beings

The review reported 66.7% accuracy for the worst class in Moutselos et al. (Ungraded).

4 findings from 1 review

Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. 2022 All outcomes
in-vitro dental images · Moutselos et al., 2019; MASK R-CNN; worst class
Accuracy 66.7
1 study · 88 participants
GRADE not reported
Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. 2022 All outcomes
Switzerland · Casalegno et al., 2018; CNN
Accuracy 83.6
1 study · 217 participants
GRADE not reported
Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. 2022 All outcomes
in-vitro dental images · Moutselos et al., 2019; MASK R-CNN; most common class
Accuracy 88.9
1 study · 88 participants
GRADE not reported

Show 1 more finding

Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. 2022 All outcomes
in-vitro dental images · Moutselos et al., 2019; MASK R-CNN; center pixel class
Accuracy 77.8
1 study · 88 participants
GRADE not reported

Machine-learning algorithms for dental caries detection vs Different machine-learning algorithms for caries prediction

Premolar caries detection accuracy · Dental images of human beings

The review reported 88% accuracy for premolar caries in Lee et al. (Ungraded).

1 finding from 1 review

Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. 2022 All outcomes
Korea · Lee et al., 2018; CNN
Accuracy 88
1 study · 3000 participants
GRADE not reported

Machine-learning algorithms for dental caries detection vs Different machine-learning algorithms for caries prediction

Molar and premolar caries detection accuracy · Dental images of human beings

The review reported 82% accuracy for combined molar and premolar caries in Lee et al. (Ungraded).

1 finding from 1 review

Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. 2022 All outcomes
Korea · Lee et al., 2018; CNN
Accuracy 82
1 study · 3000 participants
GRADE not reported

Machine-learning algorithms for dental caries detection vs Different machine-learning algorithms for caries prediction

Molar caries detection accuracy · Dental images of human beings

The review reported 89% accuracy for molar caries in Lee et al. (Ungraded).

1 finding from 1 review

Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. 2022 All outcomes
Korea · Lee et al., 2018; CNN
Accuracy 89
1 study · 3000 participants
GRADE not reported

Machine-learning algorithms for dental caries detection vs Different machine-learning algorithms for caries prediction

Root caries prediction accuracy · Dental images of human beings

The review reported 97.1% accuracy for root caries prediction in Hung et al. (Ungraded).

1 finding from 1 review

Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. 2022 All outcomes
Jordan · Hung et al., 2019; support vector machine
Accuracy 97.1
1 study · 5135 participants
GRADE not reported

Machine-learning algorithms for dental caries detection vs Different machine-learning algorithms for caries prediction

Post-Streptococcus mutans prediction accuracy · Dental images of human beings

The review reported 99% accuracy for post-Streptococcus mutans prediction in Javed et al. (Ungraded).

1 finding from 1 review

Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. 2022 All outcomes
Saudi Arabia · Javed et al., 2019; feedforward backpropagation ANN
Accuracy 99
1 study · 45 participants
GRADE not reported