USO DA INTELIGÊNCIA ARTIFICIAL PARA IDENTIFICAÇÃO DE LESÕES PERIAPICAIS
DOI:
https://doi.org/10.70614/fagrz313Palabras clave:
artificial intelligence, endodontics, dental radiographic imagingResumen
Lesões periapicais estão entre as patologias odontológicas mais comuns e apresentam como característica radiográfica radioluscência periapical, no entanto podem ser subdiagnosticadas em pacientes assintomáticos. O objetivo deste trabalho é avaliar a precisão diagnóstica da inteligência artificial na detecção destas patologias apicais em radiografias panorâmicas, radiografias periapicais e tomografias computadorizadas de feixe cônico. Observamos que as CNNs (rede neural convolucional) apresentam alta acurácia, precisão e sensibilidade, ajudam a melhorar o desempenho e velocidade do diagnóstico de dentistas. Estas ferramentas de aprendizado profundo estão revolucionando a odontologia e podem auxiliar os clínicos e o sistema de saúde odontológica, melhorias adicionais são necessárias para aumentar sua robustez, mas seu futuro é promissor.
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Derechos de autor 2026 Revista Clínica de Odontologia
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
