APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN OBSTETRIC ULTRASONOGRAPHY: ADVANCES, BENEFITS, AND CHALLENGES
Keywords:
Artificial Intelligence, Obstetric Ultrasonography, Prenatal Care, Diagnostic Imaging, Maternal and Fetal HealthAbstract
Obstetric ultrasonography is recognized as an essential tool in prenatal care, allowing early identification of conditions that may affect maternal and fetal health. However, the traditional method presents limitations such as operator-dependent variability, prolonged examination time, and difficulties in access in regions with limited infrastructure. In this context, artificial intelligence has been incorporated as a strategy to optimize diagnostic processes, reduce examination time, and increase the reproducibility of results. This study aims to critically analyze the applications of artificial intelligence in obstetric ultrasonography, highlighting recent advances, perceived clinical benefits, risks, and implementation challenges. The deductive method was adopted, with bibliographic research in specialized sources. The results indicate that although the technology offers important operational and diagnostic gains, its full adoption depends on overcoming technical, ethical, financial, and regulatory barriers. It is concluded that the incorporation of artificial intelligence in obstetric ultrasonography requires strategic planning, professional training, and specific regulation.
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Copyright (c) 2025 Isabella Rissi Vicentini de Morais, Wilnaira Costa, Emanuela Gama Sousa, Leônidas Barbosa Porto Neto
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
