PubMed · 14271476
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C REYNOLDS. 1965. FLUORIDE SUPPLEMENTS.. https://pubmed.ncbi.nlm.nih.gov/14271476/
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Artificial intelligence (AI) has been proposed as a tool to improve dental caries detection across imaging modalities; however, its clinical value remains uncertain. This umbrella review aimed to synthesize and critically appraise systematic reviews evaluating AI for caries detection and diagnosis. An umbrella review was conducted following PRIOR guidance (PROSPERO CRD420261340728). Searches were performed in MEDLINE, Embase, Scopus, Web of Science, and Google Scholar up to 15 March 2026. Methodological quality was assessed using AMSTAR 2, and overlap of primary studies was quantified using the corrected covered area (CCA). Seventeen systematic reviews were included, of which five reported diagnostic test accuracy meta-analyses using bivariate or HSROC models. Across these meta-analyses, pooled sensitivity ranged from 0.76 to 0.94 and specificity from 0.85 to 0.91. Most systems were based on deep learning models applied to bitewing radiographs and intraoral photographs. However, substantial heterogeneity was observed in imaging modalities, lesion thresholds, analytical tasks, and evaluation metrics. In addition, a high degree of overlap across reviews and recurrent methodological limitations, including reliance on retrospective datasets, limited external validation, and inconsistent reporting, substantially weaken the reliability of the evidence. Although AI models demonstrate high diagnostic performance under experimental conditions, current evidence does not support their use as stand-alone diagnostic tools. Their clinical applicability remains limited, and implementation should be restricted to decision-support contexts until robust prospective validation demonstrates meaningful impact on clinical decision-making and patient outcomes.
Since 1997, South Africa has been developing and implementing food-based dietary guidelines for people aged >6 years. The complexity of the population, which contains different ethnic groups, as well as the rapid urbanization that is taking place, means that food-based dietary guidelines need to consider both overnutrition and undernutrition. The initial guidelines did not include guidance on sugar, and the Department of Health was not prepared to approve them until appropriate guidance on sugar was included. This paper summarizes the evidence available for such a guideline and the nature of that evidence. Other low- and middle-income countries, particularly those in Africa, may face a similar dilemma and might learn from our experience.