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Review
. 2024 Sep 22;13(18):5626.
doi: 10.3390/jcm13185626.

Advancements in Artificial Intelligence for Fetal Neurosonography: A Comprehensive Review

Jan Weichert  1   2 , Jann Lennard Scharf  1
Affiliations
Review

Advancements in Artificial Intelligence for Fetal Neurosonography: A Comprehensive Review

Jan Weichert et al. J Clin Med. .

Abstract

The detailed sonographic assessment of the fetal neuroanatomy plays a crucial role in prenatal diagnosis, providing valuable insights into timely, well-coordinated fetal brain development and detecting even subtle anomalies that may impact neurodevelopmental outcomes. With recent advancements in artificial intelligence (AI) in general and medical imaging in particular, there has been growing interest in leveraging AI techniques to enhance the accuracy, efficiency, and clinical utility of fetal neurosonography. The paramount objective of this focusing review is to discuss the latest developments in AI applications in this field, focusing on image analysis, the automation of measurements, prediction models of neurodevelopmental outcomes, visualization techniques, and their integration into clinical routine.

Keywords: artificial intelligence; convolutional neural networks; fetal; machine learning; neurosonography; prenatal; ultrasound.

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Conflict of interest statement

The authors declare no conflict of interest.

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