Objective The purpose of this systematic review is to summarize information on the use of teledentistry in the diagnosis of oral lesions. Materials and Methods A systematic literature search conducted in August 2018 included articles published until December 2018 in 4 databases. Two reviewers evaluated the search results separately. If they were uncertain as to whether to include an article, a third reviewer made the final decision. Studies related to the diagnosis of oral lesions using teledentistry were included. The methodological quality of the studies was analyzed using the Quality Assessment of Studies of Diagnostic Accuracy. Results Eleven articles were included in the study. The selected articles were published between 1999 and 2018, predominantly in developing countries. The professionals acting as patient examiners are dental students and dentists, as well as other health professionals. Most of the patients evaluated in the studies were from rural populations or locations distant from large centers. The tools used to obtain patient data were smartphones, videoconference, email, questionnaires, histopathological exams, and telemedicine applications and systems. Most studies concluded that there is a high level of agreement between teledentistry and clinical consultation and that the use of this resource for diagnostic purposes can reduce costs and the travel time to consult a specialist personally. Nine of the 11 studies were of good quality. Conclusions Teledentistry has the potential to improve the care quality related to diagnosis and management of oral lesions, shortening distances between patients who need specialized diagnoses and specialists.

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Introdução: inúmeras são as vantagens advindas da utilização de prontuários eletrônicos, como o acesso veloz às informações e o uso simultâneo dos dados. Objetivo: desenvolver um software de prontuários eletrônicos com um sistema de recomendações de diagnóstico e análises estatísticas na área de Cirurgia e Traumatologia Bucomaxilofaciais. Métodos: no sistema de recomendações de diagnóstico, o grau de similaridade foi efetuado utilizando-se o método do Cosseno; e, para verificar a semelhança entre as variáveis Pearson, os gráficos foram elaborados a partir de análise descritiva. Resultados: o sistema de recomendações apresentou índice de acertos nos diagnósticos de 93,3%. O tempo para gerar cada gráfico no software foi de 6,21 segundos. Conclusões: o software desenvolvido mostrou-se eficaz para tomadas de decisões a partir das recomendações diagnósticas e análise estatística geradas pelo programa. As recomendações de diagnósticos apresentaram 93,3% de efetividade. Melhorias contínuas no processo de desenvolvimento e utilização do software são necessárias para alcançar as expectativas do usuário