Vanessa Gallego Arias Pecorari, Laís Renata Almeida Cezário, Caio Vieira de Barros Arato, Tainá de Lima Costa, Karine Laura Cortellazzi, Roberto Fiório Pecorari, José Erasmo Silva
{"title":"The use of artificial intelligence in the diagnosis of carious lesions: Systematic review and meta-analysis","authors":"Vanessa Gallego Arias Pecorari, Laís Renata Almeida Cezário, Caio Vieira de Barros Arato, Tainá de Lima Costa, Karine Laura Cortellazzi, Roberto Fiório Pecorari, José Erasmo Silva","doi":"10.1101/2024.05.03.24306821","DOIUrl":null,"url":null,"abstract":"<strong>Background</strong> The use of Artificial Intelligence (AI) has many applications in the healthcare field. Dental caries is a disease with a prevalence rate of over 50% in Brazil. The diagnosis of caries is usually based on a clinical examination and supplementary tests such as X-rays. The accuracy of a diagnostic test is evaluated by its sensitivity, specificity, and accuracy. Various algorithms and neural network configurations are being used for caries diagnosis.","PeriodicalId":501363,"journal":{"name":"medRxiv - Dentistry and Oral Medicine","volume":"275 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Dentistry and Oral Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.05.03.24306821","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background The use of Artificial Intelligence (AI) has many applications in the healthcare field. Dental caries is a disease with a prevalence rate of over 50% in Brazil. The diagnosis of caries is usually based on a clinical examination and supplementary tests such as X-rays. The accuracy of a diagnostic test is evaluated by its sensitivity, specificity, and accuracy. Various algorithms and neural network configurations are being used for caries diagnosis.
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