Artificial intelligence: how technology helps in the diagnosis of congenital heart disease

como a tecnologia auxilia no diagnóstico das cardiopatias congênitas

Authors

  • Arielle Aparecida Borges de Lima
  • Ana Clara Barbosa Gonçalves
  • Ana Luisa de Oliveira Maia
  • Laura Medeiros Souza
  • Brenna Pinheiro Zuttion5

Keywords:

Heart Defects, Generative Artificial Intelligence, Prenatal Care.

Abstract

Congenital heart disease (CHD) is the most common birth defect, which has a low rate of early detection. In such a scenario, AI shows promise, especially regarding the clinical-radiological impacts of fetal echocardiography. This systematic and qualitative literature review was prepared through bibliographic research in the Virtual Health Library (VHL) and PubMed databases. Although AI helps in the detection of CC and contributes to less experienced professionals, limitations are observed and its implementation requires clinical validation. The impact on reducing underdiagnosis and improving clinical outcomes is limited, depends on human assistance, and lacks studies to demonstrate the impact on fetal echocardiography.

References

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Published

2026-02-01

How to Cite

Lima, A. A. B. de, Gonçalves, A. C. B., Maia, A. L. de O., Souza, L. M., & Zuttion5, B. P. (2026). Artificial intelligence: how technology helps in the diagnosis of congenital heart disease: como a tecnologia auxilia no diagnóstico das cardiopatias congênitas. Revista De Divulgação Científica Sena Aires, 15(Esp.3), 66–72. Retrieved from https://rdcsa.emnuvens.com.br/revista/article/view/1109