Aplicações da inteligência artificial em ultrassonografia obstétrica point-of-care no pré-natal: revisão de escopo
DOI:
https://doi.org/10.59464/2359-4632.2026.4199Palavras-chave:
Inteligência artificial, Ultrassonografia pré-natal, Cuidado pré-natal, Diagnóstico por imagem, Revisão de escopoResumo
Objetivo: Mapear as evidências sobre o uso de inteligência artificial em ultrassonografia obstétrica point-of-care no pré-natal. Métodos: Revisão de escopo conduzida conforme as recomendações do Joanna Briggs Institute e relatada segundo o PRISMA-ScR. A busca foi realizada nas bases PubMed/MEDLINE, Scopus e Biblioteca Virtual em Saúde, além de literatura cinzenta. A questão foi estruturada pelo mnemônico PCC, considerando gestantes, fetos e/ou profissionais do cuidado pré-natal, inteligência artificial aplicada à ultrassonografia obstétrica e ultrassonografia point-of-care no pré-natal. Resultados: Foram identificados 431 estudos nas bases de dados e 34 documentos na literatura cinzenta, totalizando 17 estudos incluídos, publicados entre 2019 e 2025. Predominaram estudos de desenvolvimento, validação ou avaliação técnica de algoritmos. As principais aplicações envolveram estimativa da idade gestacional, biometria fetal, detecção de planos padrão, avaliação da apresentação fetal, localização placentária e controle de qualidade da imagem. Conclusão: A inteligência artificial aplicada à ultrassonografia obstétrica point-of-care apresenta potencial para ampliar o acesso à avaliação pré-natal, apoiar operadores não especialistas e qualificar a triagem obstétrica, embora ainda sejam necessários estudos multicêntricos, validação externa e avaliação em fluxos reais de cuidado.
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