Palavras-chave
Implantes dentários
Reabsorção óssea
Como Citar
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Resumo
Objetivo: Comparar o uso de modelos de inteligência artificial (IA) para detectar, reabsorção óssea e peri‑implantite em pacientes portadores de implantes dentários por meio de exames de imagem. Métodos: Trata-se de uma revisão sistemática que seguiu o rotocolo PRISMA com busca em bases de dados indexadas (Scopus, Web of Science, PubMed/MEDLINE, SciELO, Google Acadêmico e IEEE Xplore) nos últimos 10 anos. Foi realizada a remoção de duplicatas e triagem por títulos, resumos e leitura na íntegra dos artigos encontrados. Resultados: Dezesseis estudos preencheram os critérios; a maioria utilizou redes neuronais convolucionais (CNN) para segmentação automática de implantes e mensuração da perda óssea, com acurácia entre 70 % e 97 %. Modelos de aprendizado de máquina com dados clínicos ou radiológicos tiveram desempenho variável. Consideraçôes finais: Técnicas de IA demonstram alta acurácia na detecção de reabsorção óssea peri‑implantar, embora a generalização seja limitada pelo tamanho das bases de dados, heterogeneidade metodológica e necessidade de padronização de protocolos.
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