{"id":27092,"date":"2022-06-08T09:30:34","date_gmt":"2022-06-08T14:30:34","guid":{"rendered":"https:\/\/saluddigital.com\/?p=27092"},"modified":"2025-10-20T11:50:34","modified_gmt":"2025-10-20T17:50:34","slug":"app-movil-basada-en-inteligencia-artificial-mejora-la-deteccion-de-caries-en-ninos","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/big-data\/app-movil-basada-en-inteligencia-artificial-mejora-la-deteccion-de-caries-en-ninos\/","title":{"rendered":"Mobile app based on Artificial Intelligence improves caries detection in children."},"content":{"rendered":"
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A study published in PLOS One shows how, through Artificial Intelligence (AI), the AICaries application improves the detection of dental caries at home.<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Tooth decay during early childhood is one of the most common childhood diseases worldwide, especially in children whose families face barriers to proper dental care. For this reason, researchers developed the AICaries mobile app, which promotes caries detection at home.<\/p>

Through AI, this app uses photos of children's teeth for cavity detection. The app was tested by ten pairs of parents and children, to adjust the procedures for using the app. Subsequently with 32 pairs of parents and children for their test at home and to evaluate the application in their natural environment for two weeks.<\/p>

"With AICaries, parents can use their smartphones to take photos of their children's teeth and detect cavities, allowing them to actively seek treatment for their children in early and reversible stages," explains the author of the study in his abstract. On the other hand, the application also has an educational section for reducing the risk of caries, as well as a directory of dentists.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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AI-powered cavity detection requires photos to meet quality control to avoid dark, blurry, or overly bright photos, so the app will notify users if photos need to be retaken. In the app interface, users will select the \u201cassess caries risk\u201d option and receive a caries risk assessment for each tooth based on three levels: low, medium or high.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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The study showed high participation by the 28 parents, since 89% of the participants took photos of their children's teeth through the app. A total of 334 photos, that is, an average of 12 photos per parent. "The results of our study indicated that the AICaries app is well accepted by participating parents," the study explains.<\/p>

However, the authors acknowledge the limitations of their study, such as the fact that the research tests were conducted in only one city in the United States and only Android devices were used.<\/p>

\u201cThe ultimate goal of the AICaries app is to achieve at-home caries detection using images of teeth taken by parents or caregivers. Since the current study is the first step in evaluating usability, feasibility, and acceptance, future design should incorporate validity testing of AICaries and compare the sensitivity and specificity of the AICaries app in caries detection for clinicians." the study concludes.<\/p>

You can consult the complete study and its results at the following link: https:\/\/journals.plos.org\/digitalhealth\/article?id=10.1371\/journal.pdig.0000046<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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PLOS ONE<\/strong><\/p>

https:\/\/journals.plos.org\/digitalhealth\/article?id=10.1371\/journal.pdig.0000046<\/a><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

Estudio publicado en PLOS One muestra c\u00f3mo a trav\u00e9s de Inteligencia Artificial (IA) la aplicaci\u00f3n AICaries mejora la detecci\u00f3n de caries dental en el hogar. Las caries durante los primeros a\u00f1os de la infancia, es una de las enfermedades infantiles m\u00e1s comunes en todo el mundo, especialmente en ni\u00f1os cuyas familias enfrentan barreras para el cuidado dental adecuado. Por ello, investigadores desarrollaron la app m\u00f3vil AICaries, que promueve la detecci\u00f3n de caries en el hogar. A trav\u00e9s de IA, esta aplicaci\u00f3n utiliza fotos de dientes de ni\u00f1os para detecci\u00f3n de caries. La app fue probada por diez parejas de padres e hijos, para ajustar los procedimientos de uso de la app. Posteriormente con 32 parejas de padres e hijos para su prueba en el hogar y evaluar la aplicaci\u00f3n en su entorno natural durante dos semanas. \u201cCon AICaries, los padres pueden usar sus tel\u00e9fonos inteligentes para tomar fotos de los dientes de sus hijos y detectar caries, lo que les permite buscar activamente tratamiento para sus hijos en etapas tempranas y reversibles\u201d, explica el autor del estudio en su resumen.  Por otra parte, la aplicaci\u00f3n tambi\u00e9n cuenta con un apartado educativo para la reducci\u00f3n del riesgo de caries, as\u00ed como un directorio de dentistas. La detecci\u00f3n de caries impulsada por IA, requiere que las fotograf\u00edas cumplan con el control de calidad, para evitar fotograf\u00edas oscuras, borrosas o con demasiado brillo, por ello la app notificar\u00e1 a los usuarios si es necesario volver a tomar las fotos. En la interfaz de la app los usuarios seleccionar\u00e1n la opci\u00f3n de “evaluar el riesgo de caries” y recibir\u00e1n una evaluaci\u00f3n de riesgo de caries para cada diente basada en tres niveles: bajo, medio o alto. El estudio mostr\u00f3 alta participaci\u00f3n por parte de los 28 padres, pues el 89% de los participantes tomaron fotos de los dientes de sus hijos a trav\u00e9s de la app. Un total de 334 fotos, es decir un promedio de 12 fotos por padre. \u201cLos resultados de nuestro estudio indicaron que la aplicaci\u00f3n AICaries tiene una buena aceptaci\u00f3n entre los padres participantes\u201d, explica el estudio. No obstante, los autores reconocen las limitaciones de su estudio, como el hecho de que las pruebas de las investigaciones y realizaron solo en una ciudad de Estados Unidos y solo se utilizaron dispositivos Android. \u201cEl objetivo final de la aplicaci\u00f3n AICaries es lograr la detecci\u00f3n de caries en el hogar utilizando im\u00e1genes de dientes tomadas por los padres o cuidadores. Dado que el estudio actual es el primer paso para evaluar la usabilidad, la viabilidad y la aceptaci\u00f3n, el dise\u00f1o futuro debe incorporar pruebas de validez de AICaries y comparar la sensibilidad y especificidad de la aplicaci\u00f3n AICaries en la detecci\u00f3n de caries para los m\u00e9dicos\u201d, concluye el estudio. Puedes consultar el estudio completo y sus resultados en el siguiente enlace: https:\/\/journals.plos.org\/digitalhealth\/article?id=10.1371\/journal.pdig.0000046 BIBLIOGRAF\u00cdA PLOS ONE https:\/\/journals.plos.org\/digitalhealth\/article?id=10.1371\/journal.pdig.0000046<\/p>","protected":false},"author":1,"featured_media":27094,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[156,3400,160],"tags":[145],"class_list":["post-27092","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data","category-diagnostico","category-noticias","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/27092","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/comments?post=27092"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/27092\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/27094"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=27092"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=27092"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=27092"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}