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Each row is one question a systematic review asked: who, what, compared with what, and which outcome, with the effect it found and how certain that is. Words match anywhere in the field.

Limit to evidence status or GRADE (optional)

1 questions in 1 reviews · cluster CL0077

current versions
No studies 0 · 0%Ungraded 1 · 100%Very low 0 · 0%Low 0 · 0%Moderate 0 · 0%High 0 · 0%

Ungraded means an effect was reported without a GRADE rating; it is not a gap. No studies means the review found nothing to answer the question. The six categories are a display order, not a score.

Intervention categories, outcome domains and clusters are a proposed key pending human validation. Clear all filters

QuestionEffectEvidenceStatus / GRADE
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 · Javed et al., 2019; feedforward backpropagation ANN
Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. (2022)
Accuracy 991 study · 45 participantsUngraded