Aplicações da inteligência artificial no câncer oral: uma revisão sistemática
DOI:
https://doi.org/10.34024/rnc.2025.v33.19930Palavras-chave:
Câncer Oral, Inteligência artificial, DiagnósticoResumo
Introdução. O diagnóstico preciso e antecipado do câncer oral permite não apenas a escolha e aplicação correta do tratamento, como também a intervenção em estágios iniciais da doença, o que contribui diretamente para um bom prognóstico do paciente. Diante desse cenário, as tecnologias se apresentam como aliadas importantes para a melhoria do diagnóstico e do tratamento dessa condição. Objetivo. Identificar as aplicações da Inteligência Artificial no processo de diagnóstico e tratamento de lesões orais malignas. Método. Esta pesquisa trata-se de uma revisão sistemática que seguiu as diretrizes do protocolo PRISMA. A busca foi realizada nas bases de dados PubMed, BVS, Science Direct e Scopus e a triagem inicial teve como base a leitura de título e resumo dos artigos encontrados. Os estudos remanescentes desta etapa foram selecionados para leitura completa no sentido de verificar a adequação com os critérios de inclusão desta revisão. Por fim, os estudos selecionados para inclusão passaram pela análise do risco de viés. Resultados. Foram incluídos 19 estudos nos quais os campos mais analisados foram machine learning, artificial neural network e deep-learning e as aplicações mais analisadas foram diagnóstico histopatológico e previsão de diagnóstico. Conclusão. Embora tenha sido possível identificar as aplicações dos modelos de inteligência artificial para a finalidade estudada, fica evidente que estudos com maior qualidade de evidência precisam ser produzidos para comprovação da eficácia dessas aplicações.
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Referências
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Copyright (c) 2025 Lucas Gabriel Silva Ferreira, Amanda Benevenuto Bezerra, Erick Nelo Pedreira
Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.
