ArticleRevista de saude publica2026
Artificial intelligence and oral photography: an approach to the epidemiology of dental caries.
Article in Revista de saude publica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07639749 (Diagnostic Accuracy of Artificial Intelligence Analysis Using Intraoral Photographs Versus Clinical Examination in White Spot Lesions Detection, Identification, And Scoring.), which is not on this map. Not yet cited in PubMed.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Diagnostic Accuracy of Artificial Intelligence Analysis Using Intraoral Photographs Versus Clinical Examination in White Spot Lesions Detection, Identification, And Scoring.
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0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveDental caries is an important public health issue due to its high prevalence around the world, its impact on people's quality of life, and the existence of effective methods to control and prevent it. This study aims to find the state of the art regarding the diagnosis of caries with the use of artificial intelligence in the scientific literature, which could represent future advances in its use in oral health epidemiology.
methodsA scoping review was carried out based on a search strategy on the main health databases that found 1,439 articles by descriptors or keywords related to caries, diagnosis, and artificial intelligence.
resultsAfter analysis, 17 scientific articles composed the final sample. Of these, 94.1% are quite recent, published from 2020 onward. Although the articles were based on a clinical perspective, their objectives, results, and conclusions signal the possible effectiveness of artificial intelligence as a strategic tool for epidemiology. Frontal, lateral, and occlusal photographs served to diagnose caries on all sides of the teeth.
conclusionIt is essential to invest in alternatives related to artificial intelligence and oral photography to replace traditional epidemiological surveys, which would enable the full development of oral health surveillance.
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