Systematic review evaluates AI's accuracy in diagnosing dental caries, suggesting potential clinical applications.
AI models showed good diagnostic accuracy for caries detection across imaging modalities and analytical units. However, given the substantial heterogeneity and limitations in study quality and reference standards, these summary estimates should be interpreted with caution. AI-based systems may serve as complementary decision-support tools in clinical practice, but further standardization, external validation, and high-quality multicenter studies are required before broad clinical implementation.
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Lai et al. (2026) studied this question.
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