Aplicação da Inteligência Artificial no Diagnóstico de Carcinoma Epidermoide Oral
Uma síntese de revisões sistemáticas
DOI:
https://doi.org/10.36557/2674-8169.2026v8n3p330-351Palavras-chave:
Câncer de Boca, Carcinoma. Patologia Bucal. Estomatologia. Neoplasias de Tecidos Moles., Inteligência Artificial.Resumo
Introdução: O carcinoma epidermoide oral (CEO), também denominado carcinoma espinocelular ou de células escamosas, representa aproximadamente 90% das neoplasias malignas da cavidade oral. De acordo com a Worlds Cancer Research Fund, no ano de 2022, aproximadamente 389.846 novos casos de câncer de boca foram registrados em todo o mundo, com maior incidência entre homens. Apesar do aumento na incidência de casos ser uma tendência global, a subnotificação ainda apresenta um grande problema, principalmente em países subdesenvolvidos, o que pode implicar diretamente no prognóstico do paciente, diminuindo suas chances de cura. Objetivo: Avaliar e sintetizar revisões sistemáticas que analisaram o desempenho e precisão de diferentes aplicações das inteligências artificiais no diagnóstico de carcinoma epidermoide oral. Materiais e métodos: Foram utilizadas as bases de dados: PUBMED/MEDLINE; Web of Science; LILACS (BVS) e Scielo, além da busca por artigos em “literatura cinzenta”, no Google Scholar. Na pesquisa foram empregados os desritores: Oral cancer; oral squamous cells carcinoma; “AI”; Artificial Intelligence; Deep learning; Machine learning. Ademais, utilizaram-se os operadores booleanos “AND” e “OR”. Para os critérios de inclusão, optou-se por trabalhos do tipo revisão sistemática, com dados robustos e detalhados, publicados entre 2020 e 2025, que abordassem o uso de inteligência artificial como ferramenta no diagnóstico de carcinoma epidermoide oral. O idioma de escolha dos estudos selecionados foi o inglês. Resultados: Após identificação, triagem e aplicação dos critérios de elegibilidade, 11 revisões sistemáticas foram selecionadas para este estudo. Conclusão: Observou-se que os modelos de inteligência artificial aplicados demonstraram desempenho promissor no diagnóstico do carcinoma epidermoide oral. Entretanto, ainda são necessários estudos adicionais para padronização dos protocolos metodológicos, ampliação e variabilidade dos conjuntos de dados e validação clínica dos modelos de IAs aplicados
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Copyright (c) 2026 Nycole Susi Ferreira de Araújo, Laís Inês Silva Cardoso, Thalita Santana
Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.
Os autores são detentores dos direitos autorais mediante uma licença CCBY 4.0.
